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maxiw

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hf-posts

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[ { "type": "text", "value": "Thanks to the incredible collaboration of 14 community annotators, ", "raw": "Thanks to the incredible collaboration of 14 community annotators, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "href": null, "resource": null, "url": null, "code": null, "user": "davanstrien", "label": null, "lang": null }, { "type": "text", "value": " of HF and ", "raw": " of HF and ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@dvilasuero", "href": null, "resource": null, "url": null, "code": null, "user": "dvilasuero", "label": null, "lang": null }, { "type": "text", "value": " et. al of Argilla, DIBT (", "raw": " et. al of Argilla, DIBT (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/DIBT", "href": "https://huggingface.co/DIBT", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") is pleased to make available a Russian-language dataset of 500 of the best curated LLM prompts translated to Russian and available for use: ", "raw": ") is pleased to make available a Russian-language dataset of 500 of the best curated LLM prompts translated to Russian and available for use: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/datasets/DIBT/MPEP_RUSSIAN", "href": "https://huggingface.co/datasets/DIBT/MPEP_RUSSIAN", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "More to come from the MPEP initiative! Interested in annotating or leading a language team? ", "raw": "More to come from the MPEP initiative! Interested in annotating or leading a language team? ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation", "href": "https://github.com/huggingface/data-is-better-together/tree/main/prompt_translation", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Can someone suggest me a good open source vision model which performs good at OCR?", "raw": "Can someone suggest me a good open source vision model which performs good at OCR?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "reaction": "👀", "users": [ "victor", "ToluClassics" ], "count": 2 } ]

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[ { "type": "text", "value": "Excited to share a new project to make journalists’ lives easier when gathering information!", "raw": "Excited to share a new project to make journalists’ lives easier when gathering information!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collecting data like lists, URLs, etc., from websites is not always easy (and sometimes painful). Web scraping requires technical skills that only a handful of people in each newsroom have.", "raw": "Collecting data like lists, URLs, etc., from websites is not always easy (and sometimes painful). Web scraping requires technical skills that only a handful of people in each newsroom have.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I recently stumbled upon ", "raw": "I recently stumbled upon ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@scrapegraphai", "href": null, "resource": null, "url": null, "code": null, "user": "scrapegraphai", "label": null, "lang": null }, { "type": "text", "value": ", a scraper that does the heavy lifting with AI for the user with a simple prompt in natural language. I asked them if they could integrate the Hugging Face Hub to use open-source models and created a no-code, easy-to-use interface on Gradio.", "raw": ", a scraper that does the heavy lifting with AI for the user with a simple prompt in natural language. I asked them if they could integrate the Hugging Face Hub to use open-source models and created a no-code, easy-to-use interface on Gradio.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can then save time and focus on storytelling!", "raw": "You can then save time and focus on storytelling!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔧 How It Works", "raw": "🔧 How It Works", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. Input Your Prompt and Source URL", "raw": "1. Input Your Prompt and Source URL", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. Click ‘Scrape and Summarize’", "raw": "2. Click ‘Scrape and Summarize’", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. Receive Summarized Results", "raw": "3. Receive Summarized Results", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👩‍💻 Get Involved!", "raw": "👩‍💻 Get Involved!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This is just the first version of the tool, and it’s pretty basic. I’ve uploaded it to the Journalists on Hugging Face community so we can work together on it. Whether you’re a developer, a data scientist, or a journalist with ideas, you can contribute to this project.", "raw": "This is just the first version of the tool, and it’s pretty basic. I’ve uploaded it to the Journalists on Hugging Face community so we can work together on it. Whether you’re a developer, a data scientist, or a journalist with ideas, you can contribute to this project.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can also copy this app to your own account or organization to customize it to your needs.", "raw": "You can also copy this app to your own account or organization to customize it to your needs.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 Test the scraper here: ", "raw": "👉 Test the scraper here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/JournalistsonHF/ai-scraper", "href": null, "resource": { "type": "space", "id": "JournalistsonHF/ai-scraper", "discussionNum": null }, "url": "https://huggingface.co/spaces/JournalistsonHF/ai-scraper", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤝 Join the Journalists on 🤗 community: ", "raw": "🤝 Join the Journalists on 🤗 community: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/JournalistsonHF", "href": "https://huggingface.co/JournalistsonHF", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "We open source a new image inpainting model PowerPaint v2-1: ", "raw": "We open source a new image inpainting model PowerPaint v2-1: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/JunhaoZhuang/PowerPaint-v2-1", "href": null, "resource": { "type": "model", "id": "JunhaoZhuang/PowerPaint-v2-1", "discussionNum": null }, "url": "https://huggingface.co/JunhaoZhuang/PowerPaint-v2-1", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "My Favourite songs ", "raw": "My Favourite songs ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://youtu.be/jJvDnYdD8JQ", "href": "https://youtu.be/jJvDnYdD8JQ", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Katy perry roar, fireworks.", "raw": "Katy perry roar, fireworks.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Paula Abdul - Straight Up (Lyrics), Paula Abdul Rush Rush (Lyricshttps://www.youtube.com/watch?v=c_43Qf_d-CA, ", "raw": "Paula Abdul - Straight Up (Lyrics), Paula Abdul Rush Rush (Lyricshttps://www.youtube.com/watch?v=c_43Qf_d-CA, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=eqSdQ5gJC7A", "href": "https://www.youtube.com/watch?v=eqSdQ5gJC7A", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "BLACKPINK, Selena Gomez - Ice Cream (Lyrics) ", "raw": "BLACKPINK, Selena Gomez - Ice Cream (Lyrics) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=pcrnh069iBI", "href": "https://www.youtube.com/watch?v=pcrnh069iBI", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Lil Nas X - Old Town Road (Lyrics link not included)", "raw": "Lil Nas X - Old Town Road (Lyrics link not included)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "(SUNO.AI IS A SOFTWARE WHERE YOU CAN CREATE YOUR ON MUSIC WITH VOCAL SINGERS WRITE A PROMPT OR ADD YOUR OWN LYRICS)", "raw": "(SUNO.AI IS A SOFTWARE WHERE YOU CAN CREATE YOUR ON MUSIC WITH VOCAL SINGERS WRITE A PROMPT OR ADD YOUR OWN LYRICS)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Google LLM(Multimodal) Medical Foundation Model Summary", "raw": "Google LLM(Multimodal) Medical Foundation Model Summary", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1.Med-PaLM: Large language models encode clinical knowledge, ", "raw": "1.Med-PaLM: Large language models encode clinical knowledge, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.nature.com/articles/s41586-023-06291-2", "href": "https://www.nature.com/articles/s41586-023-06291-2", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2.Med-PaLM 2: Towards Expert-Level Medical Question Answering with Large Language Models, ", "raw": "2.Med-PaLM 2: Towards Expert-Level Medical Question Answering with Large Language Models, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "http://arxiv.org/abs/2305.09617", "href": "http://arxiv.org/abs/2305.09617", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3.Med-PaLM M: Towards Generalist Biomedical AI, ", "raw": "3.Med-PaLM M: Towards Generalist Biomedical AI, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "http://arxiv.org/abs/2307.14334", "href": "http://arxiv.org/abs/2307.14334", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "4.Med-Gemini: Capabilities of Gemini Models in Medicine, ", "raw": "4.Med-Gemini: Capabilities of Gemini Models in Medicine, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2404.18416v2", "href": "https://arxiv.org/abs/2404.18416v2", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "; Advancing Multimodal Medical Capabilities of Gemini, ", "raw": "; Advancing Multimodal Medical Capabilities of Gemini, ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2405.03162", "href": "https://arxiv.org/abs/2405.03162", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Journey With Me Into The Mind of Large Language Models: Interesting Findings in AnthropicAI's Scaling Monosemanticity paper.", "raw": "Journey With Me Into The Mind of Large Language Models: Interesting Findings in AnthropicAI's Scaling Monosemanticity paper.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "One of the many unknowns with LLMs is the why behind the responses they give - it's unclear why certain responses are chosen over others. Which shows how little we know of what's happening inside these models. ", "raw": "One of the many unknowns with LLMs is the why behind the responses they give - it's unclear why certain responses are chosen over others. Which shows how little we know of what's happening inside these models. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "To have a deeper sense of this, they tried Sparse Dictionary Learning on a larger model (Claude 3 Sonnet) - wherein they match patterns of neuron activations (named Features) to human interpretable meanings.", "raw": "To have a deeper sense of this, they tried Sparse Dictionary Learning on a larger model (Claude 3 Sonnet) - wherein they match patterns of neuron activations (named Features) to human interpretable meanings.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Now Dictionary Learning is a traditional ml technique that identifies recurring patterns of neuron activations across various contexts. Meaning, any internal state of the model can be expressed as a combination of a few active features rather than numerous active neurons.", "raw": "Now Dictionary Learning is a traditional ml technique that identifies recurring patterns of neuron activations across various contexts. Meaning, any internal state of the model can be expressed as a combination of a few active features rather than numerous active neurons.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "They scaled up a more effective measure of dictionary learning using a Sparse Autoencoder (SAE). The SAE has an encoder that maps inputs to sparse high-dimensional features via linear transformation & ReLU, and a decoder that reconstructs inputs from those features.", "raw": "They scaled up a more effective measure of dictionary learning using a Sparse Autoencoder (SAE). The SAE has an encoder that maps inputs to sparse high-dimensional features via linear transformation & ReLU, and a decoder that reconstructs inputs from those features.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Three variants (of sizes: ~1M, ~4M & ~34M features) of the SAE were trained and across SAEs, <300 active features/token, >65% variance were explained. With dead features: ~2% for 1M, 35% for 4M, 65% for 34M SAE. Implying better training could reduce dead features.

Experiments were conducted with these SAEs where they were applied to residual stream activations (RSAs) at the model's middle layer (why? 1. RSAs are smaller than MLP layers = low compute cost, 2. helps tackle \"cross-layer superposition\" issues - when features are spread across multiple layers instead of being isolated in specific layers, causing interpretation difficulties). These experiments revealed that Scaling Laws can help guide training of these SAEs.", "raw": "Three variants (of sizes: ~1M, ~4M & ~34M features) of the SAE were trained and across SAEs, <300 active features/token, >65% variance were explained. With dead features: ~2% for 1M, 35% for 4M, 65% for 34M SAE. Implying better training could reduce dead features.

Experiments were conducted with these SAEs where they were applied to residual stream activations (RSAs) at the model's middle layer (why? 1. RSAs are smaller than MLP layers = low compute cost, 2. helps tackle \"cross-layer superposition\" issues - when features are spread across multiple layers instead of being isolated in specific layers, causing interpretation difficulties). These experiments revealed that Scaling Laws can help guide training of these SAEs.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "My favorite of course is the Basic Code Features - where the model attributed meaning to different code syntax elements similar to syntax highlighting in text editors.", "raw": "My favorite of course is the Basic Code Features - where the model attributed meaning to different code syntax elements similar to syntax highlighting in text editors.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "80% of fact-checked misinformation claims involve media, with a rise in AI-generated content in 2023, according to a new study, “A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild.” Worth a read for journalists, especially fact-checkers.", "raw": "80% of fact-checked misinformation claims involve media, with a rise in AI-generated content in 2023, according to a new study, “A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild.” Worth a read for journalists, especially fact-checkers.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "TL;DR:", "raw": "TL;DR:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• 📊 135,838 fact checks analyzed", "raw": "• 📊 135,838 fact checks analyzed", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• 📸 80% of these claims involve media", "raw": "• 📸 80% of these claims involve media", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• 🎥 Videos became more common starting in 2022, now more than 60% of fact-checked claims that include media", "raw": "• 🎥 Videos became more common starting in 2022, now more than 60% of fact-checked claims that include media", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• 🤖 AI-generated content was rare until Spring of 2023, and then dramatically increased", "raw": "• 🤖 AI-generated content was rare until Spring of 2023, and then dramatically increased", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• 🖼️ Image manipulations don’t require complex operations. Most of the time it’s context manipulations", "raw": "• 🖼️ Image manipulations don’t require complex operations. Most of the time it’s context manipulations", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• Read the paper here: ", "raw": "• Read the paper here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.11697", "href": null, "resource": { "type": "paper", "id": "2405.11697", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.11697", "code": null, "user": null, "label": "AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation\n In-The-Wild (2405.11697)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• Take a look at the dataset: ", "raw": "• Take a look at the dataset: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/academic-datasets/AMMeBa", "href": null, "resource": { "type": "dataset", "id": "academic-datasets/AMMeBa", "discussionNum": null }, "url": "https://huggingface.co/datasets/academic-datasets/AMMeBa", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks ", "raw": "Thanks ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "href": null, "resource": null, "url": null, "code": null, "user": "davanstrien", "label": null, "lang": null }, { "type": "text", "value": " for spotting it!", "raw": " for spotting it!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "My version of OpenAI's Sora just came out, try out it here ", "raw": "My version of OpenAI's Sora just came out, try out it here ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Kvikontent/Openai-Sora", "href": null, "resource": { "type": "space", "id": "Kvikontent/Openai-Sora", "discussionNum": null }, "url": "https://huggingface.co/spaces/Kvikontent/Openai-Sora", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Made with ", "raw": "Made with ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ali-vilab/text-to-video-ms-1.7b", "href": null, "resource": { "type": "model", "id": "ali-vilab/text-to-video-ms-1.7b", "discussionNum": null }, "url": "https://huggingface.co/ali-vilab/text-to-video-ms-1.7b", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ", so it isn't official sora", "raw": ", so it isn't official sora", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Microsoft Just Launched 3 Powerful Models", "raw": "Microsoft Just Launched 3 Powerful Models", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. Phi 3 Medium (4k and 128k): A 14b Instruct tuned models that outperformed big models like Command R+ (104b), GPT 3.5 Pro, Gemini Pro, and is highly competitive with top models such as Mixtral 8x22b, Llama3 70B, and GPT 4.", "raw": "1. Phi 3 Medium (4k and 128k): A 14b Instruct tuned models that outperformed big models like Command R+ (104b), GPT 3.5 Pro, Gemini Pro, and is highly competitive with top models such as Mixtral 8x22b, Llama3 70B, and GPT 4.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct", "href": null, "resource": { "type": "model", "id": "microsoft/Phi-3-medium-4k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-medium-4k-instruct", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "DEMO: ", "raw": "DEMO: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-Medium", "href": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-Medium", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. Phi 3 Mini Vision 128k: A 4.5 billion-parameter, instruction-tuned vision model that has outperformed models such as Llava3 and Claude 3, and is providing stiff competition to Gemini 1Pro Vision.", "raw": "2. Phi 3 Mini Vision 128k: A 4.5 billion-parameter, instruction-tuned vision model that has outperformed models such as Llava3 and Claude 3, and is providing stiff competition to Gemini 1Pro Vision.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-vision-128k-instruct", "href": null, "resource": { "type": "model", "id": "microsoft/Phi-3-vision-128k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-vision-128k-instruct", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. Phi3 Small (8k and 128k): Better than Llama3 8b, Mixtral 8x7b and GPT 3.5 turbo.", "raw": "3. Phi3 Small (8k and 128k): Better than Llama3 8b, Mixtral 8x7b and GPT 3.5 turbo.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-small-128k-instruct", "href": null, "resource": { "type": "model", "id": "microsoft/Phi-3-small-128k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-small-128k-instruct", "code": null, "user": null, "label": null, "lang": null } ]

[]

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[ { "type": "text", "value": "whaaaaaat!?", "raw": "whaaaaaat!?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "posts on hf LFG...", "raw": "posts on hf LFG...", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "my name's kev", "raw": "my name's kev", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "and i'm building things with musicgen right now with one simple idea:", "raw": "and i'm building things with musicgen right now with one simple idea:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "removing the text from ai music. musicgen specifically, is more like a little musician itself than other models, and musicians shouldn't have to describe what they want from each other. they jam. ", "raw": "removing the text from ai music. musicgen specifically, is more like a little musician itself than other models, and musicians shouldn't have to describe what they want from each other. they jam. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "using your audio as input, gary comes in with the fills. ", "raw": "using your audio as input, gary comes in with the fills. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "suddenly, you got yourself a lil jam buddy.", "raw": "suddenly, you got yourself a lil jam buddy.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "max4live device and chrome extension coming, but on hf you can already play with a version that has dope UX thanks to gradio, and is free thanks to zero-gpu-explorers.", "raw": "max4live device and chrome extension coming, but on hf you can already play with a version that has dope UX thanks to gradio, and is free thanks to zero-gpu-explorers.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/thepatch/zero-gpu-slot-machine", "href": null, "resource": { "type": "space", "id": "thepatch/zero-gpu-slot-machine", "discussionNum": null }, "url": 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null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/thepatch/micro-slot-machine", "href": null, "resource": { "type": "space", "id": "thepatch/micro-slot-machine", "discussionNum": null }, "url": "https://huggingface.co/spaces/thepatch/micro-slot-machine", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "this one begins from a place of drums.", "raw": "this one begins from a place of drums.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, 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[ { "type": "text", "value": "Timm Leaderboard space here:", "raw": "Timm Leaderboard space here:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/MohamedRashad/timm-leaderboard", "href": null, "resource": { "type": "space", "id": "MohamedRashad/timm-leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/MohamedRashad/timm-leaderboard", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks goes to ", "raw": "Thanks goes to ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@rwightman", "href": null, "resource": null, "url": null, "code": null, "user": "rwightman", "label": null, "lang": null }, { "type": "text", "value": " for building timm 🤗", "raw": " for building timm 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hey it was good meeting you yesterday ", "raw": "Hey it was good meeting you yesterday ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@MaziyarPanahi", "href": null, "resource": null, "url": null, "code": null, "user": "MaziyarPanahi", "label": null, "lang": null }, { "type": "text", "value": " 🔥", "raw": " 🔥", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "thanks ", "raw": "thanks ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@mishig", "href": null, "resource": null, "url": null, "code": null, "user": "mishig", "label": null, "lang": null }, { "type": "text", "value": " for setting this up", "raw": " for setting this up", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Let's make the Hub as useful as possible for the community ❤️", "raw": "Let's make the Hub as useful as possible for the community ❤️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Phi-3-Medium just came out! So far it's decent (fails a few riddles 😔), try it for yourself and let me know how it is.", "raw": "Phi-3-Medium just came out! So far it's decent (fails a few riddles 😔), try it for yourself and let me know how it is.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Original Model: ", "raw": "Original Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/microsoft/Phi-3-medium-128k-instruct", "href": null, "resource": { "type": "model", "id": "microsoft/Phi-3-medium-128k-instruct", "discussionNum": null }, "url": "https://huggingface.co/microsoft/Phi-3-medium-128k-instruct", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Test it out: ", "raw": "Test it out: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-medium", "href": "https://huggingface.co/spaces/Walmart-the-bag/Phi-3-medium", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " *running on ZERO gpu*", "raw": " *running on ZERO gpu*", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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I can't stop, send help.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/dinobloom-models-664ba2ab533c5d0c9c4b07e9", "href": null, "resource": { "type": "collection", "id": "1aurent/dinobloom-models-664ba2ab533c5d0c9c4b07e9", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/dinobloom-models-664ba2ab533c5d0c9c4b07e9", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/tia-toolbox-models-654a3c7994d809b4e740105b", "href": null, "resource": { "type": "collection", "id": "1aurent/tia-toolbox-models-654a3c7994d809b4e740105b", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/tia-toolbox-models-654a3c7994d809b4e740105b", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/kaikoai-models-66636c99d8e1e34bc6dcf795", "href": null, "resource": { "type": "collection", "id": "1aurent/kaikoai-models-66636c99d8e1e34bc6dcf795", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/kaikoai-models-66636c99d8e1e34bc6dcf795", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/medmae-models-6565b4b766a4bce451a32ba7", "href": null, "resource": { "type": "collection", "id": "1aurent/medmae-models-6565b4b766a4bce451a32ba7", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/medmae-models-6565b4b766a4bce451a32ba7", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/transpath-models-65639c6730a88a2f1d04321d", "href": null, "resource": { "type": "collection", "id": "1aurent/transpath-models-65639c6730a88a2f1d04321d", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/transpath-models-65639c6730a88a2f1d04321d", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/lunit-models-65639b4149f816b7989185b4", "href": null, "resource": { "type": "collection", "id": "1aurent/lunit-models-65639b4149f816b7989185b4", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/lunit-models-65639b4149f816b7989185b4", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/tcga-brca-ssl-models-65639d42f725fc09726909f1", "href": null, "resource": { "type": "collection", "id": "1aurent/tcga-brca-ssl-models-65639d42f725fc09726909f1", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/tcga-brca-ssl-models-65639d42f725fc09726909f1", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/1aurent/deblurringmim-models-6567446811b2bbd6c2a23071", "href": null, "resource": { "type": "collection", "id": "1aurent/deblurringmim-models-6567446811b2bbd6c2a23071", "discussionNum": null }, "url": "https://huggingface.co/collections/1aurent/deblurringmim-models-6567446811b2bbd6c2a23071", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Loving the new ChatGPT Mac app.", "raw": "Loving the new ChatGPT Mac app.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can now turn a drawing into a working app in less than a minute!", "raw": "You can now turn a drawing into a working app in less than a minute!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Empereur : A Python script to automate downloading models from the Hugging Face model hub.", "raw": "Empereur : A Python script to automate downloading models from the Hugging Face model hub.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/EmpereurPirate/Empereur", "href": "https://github.com/EmpereurPirate/Empereur", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Tired of writing Pandas code? 😩", "raw": "Tired of writing Pandas code? 😩", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "If you are using VS Code, now you can use Data Wrangler from ", "raw": "If you are using VS Code, now you can use Data Wrangler from ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Microsoft", "href": null, "resource": null, "url": null, "code": null, "user": "Microsoft", "label": null, "lang": null }, { "type": "text", "value": " ! 🚀", "raw": " ! 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "It will convert your Pandas DataFrame to a rich and interactive user interface to view and analyze your data 📊, show insightful column statistics and visualizations 📈, and automatically generate Pandas code as you clean and transform the data. 🧹🔄", "raw": "It will convert your Pandas DataFrame to a rich and interactive user interface to view and analyze your data 📊, show insightful column statistics and visualizations 📈, and automatically generate Pandas code as you clean and transform the data. 🧹🔄", "href": null, "resource": null, "url": null, 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new fields ➕", "raw": "- Adding new fields ➕", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Everything in a simple open-source extension 🌟", "raw": "Everything in a simple open-source extension 🌟", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://marketplace.visualstudio.com/items?itemName=ms-toolsai.datawrangler", "href": "https://marketplace.visualstudio.com/items?itemName=ms-toolsai.datawrangler", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "PS: I love Pandas 🐼, never tired of it... still, this is cool! 😎", "raw": "PS: I love Pandas 🐼, never tired of it... still, this is cool! 😎", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "A new paper, \"Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning,\" was just published. The approach improves VLMs' decision-making abilities in goal-directed tasks. ", "raw": "A new paper, \"Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning,\" was just published. The approach improves VLMs' decision-making abilities in goal-directed tasks. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This is accomplished with Chain-of-thought (COT) reasoning, which seriously enhances performance. Removing COT reasoning, however, drops effectiveness, highlighting its crucial role.", "raw": "This is accomplished with Chain-of-thought (COT) reasoning, which seriously enhances performance. Removing COT reasoning, however, drops effectiveness, highlighting its crucial role.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check out the paper here: ", "raw": "Check out the paper here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2405.10292", "href": "https://arxiv.org/abs/2405.10292", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Do you want to improve AI in your language? Here's how you can help. ", "raw": "Do you want to improve AI in your language? Here's how you can help. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I'm exploring different AI techniques for an upcoming project in journalism, and I wanted to test a cool idea by ", "raw": "I'm exploring different AI techniques for an upcoming project in journalism, and I wanted to test a cool idea by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "href": null, "resource": null, "url": null, "code": null, "user": "davanstrien", "label": null, "lang": null }, { "type": "text", "value": ", Data is better together, which aims to foster a community of people to create DPO datasets in different languages.", "raw": ", Data is better together, which aims to foster a community of people to create DPO datasets in different languages.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This project gives the opportunity to explore various concepts: ", "raw": "This project gives the opportunity to explore various concepts: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Direct Preference Optimization (DPO)", "raw": "- Direct Preference Optimization (DPO)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Synthetic data", "raw": "- Synthetic data", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Data annotation", "raw": "- Data annotation", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- LLM as a judge", "raw": "- LLM as a judge", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1️⃣ Take the Aya dataset of human-annotated prompt-completion pairs across 71 languages and filter it to include only those in the language you’re interested in. ", "raw": "1️⃣ Take the Aya dataset of human-annotated prompt-completion pairs across 71 languages and filter it to include only those in the language you’re interested in. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2️⃣ Use distilabel from Argilla to generate a second response for each prompt and evaluate which response is best. ", "raw": "2️⃣ Use distilabel from Argilla to generate a second response for each prompt and evaluate which response is best. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Basicaly, DPO datasets have a chosen and a rejected responses to a question, which helps align models on specific tasks. To quote Daniel: \"Currently, there are only a few DPO datasets available for a limited number of languages. By generating more DPO datasets for different languages, we can help to improve the quality of generative models in a wider range of languages.\"", "raw": "Basicaly, DPO datasets have a chosen and a rejected responses to a question, which helps align models on specific tasks. To quote Daniel: \"Currently, there are only a few DPO datasets available for a limited number of languages. By generating more DPO datasets for different languages, we can help to improve the quality of generative models in a wider range of languages.\"", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3️⃣ Send this dataset and evaluations to the easy-to-use interface to evaluate the evaluations. ", "raw": "3️⃣ Send this dataset and evaluations to the easy-to-use interface to evaluate the evaluations. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This is where you can help. :) You can rate the LLM evaluation of the prompt-responses pairs. For my example, I built a dataset in French. And without wanting to start a debate about homeopathy, the second result is clearly better in the example below! ", "raw": "This is where you can help. :) You can rate the LLM evaluation of the prompt-responses pairs. For my example, I built a dataset in French. And without wanting to start a debate about homeopathy, the second result is clearly better in the example below! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/fdaudens/demo-aya-dpo-french", "href": null, "resource": { "type": "space", "id": "fdaudens/demo-aya-dpo-french", "discussionNum": null }, "url": "https://huggingface.co/spaces/fdaudens/demo-aya-dpo-french", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The final dataset can be found here: ", "raw": "The final dataset can be found here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/fdaudens/aya_french_dpo", "href": null, "resource": { "type": "dataset", "id": "fdaudens/aya_french_dpo", "discussionNum": null }, "url": "https://huggingface.co/datasets/fdaudens/aya_french_dpo", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "To contribute to other languages and learn more about synthetic data, you can also produce datasets in the language of your choice! Read more about the project: ", "raw": "To contribute to other languages and learn more about synthetic data, you can also produce datasets in the language of your choice! Read more about the project: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/data-is-better-together/blob/main/dpo/README.md", "href": "https://github.com/huggingface/data-is-better-together/blob/main/dpo/README.md", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🚀🤖🌟 New Research Alert - CVPR 2024! 🌟🤖🚀", "raw": "🚀🤖🌟 New Research Alert - CVPR 2024! 🌟🤖🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📄 Title: RoHM: Robust Human Motion Reconstruction via Diffusion 🔝", "raw": "📄 Title: RoHM: Robust Human Motion Reconstruction via Diffusion 🔝", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📝 Description: RoHM is a diffusion-based approach for robust 3D human motion reconstruction from monocular RGB(-D) videos, effectively handling noise and occlusions to produce complete and coherent motions. This method outperforms current techniques in various tasks and is faster at test time.", "raw": "📝 Description: RoHM is a diffusion-based approach for robust 3D human motion reconstruction from monocular RGB(-D) videos, effectively handling noise and occlusions to produce complete and coherent motions. This method outperforms current techniques in various tasks and is faster at test time.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👥 Authors: Siwei Zhang et al.", "raw": "👥 Authors: Siwei Zhang et al.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸", "raw": "📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2401.08570", "href": null, "resource": { "type": "paper", "id": "2401.08570", "discussionNum": null }, "url": "https://huggingface.co/papers/2401.08570", "code": null, "user": null, "label": "RoHM: Robust Human Motion Reconstruction via Diffusion (2401.08570)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌐 GitHub Page: ", "raw": "🌐 GitHub Page: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://sanweiliti.github.io/ROHM/ROHM.html", "href": "https://sanweiliti.github.io/ROHM/ROHM.html", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📁 Repository: ", "raw": "📁 Repository: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/sanweiliti/RoHM", "href": "https://github.com/sanweiliti/RoHM", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 Added to the CVPR-2023-24-Papers: ", "raw": "🚀 Added to the CVPR-2023-24-Papers: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "href": "https://github.com/DmitryRyumin/CVPR-2023-24-Papers", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "raw": "📚 More Papers: more cutting-edge research presented at other conferences in the ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "href": null, "resource": { "type": "space", "id": "DmitryRyumin/NewEraAI-Papers", "discussionNum": null }, "url": "https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " curated by ", "raw": " curated by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@DmitryRyumin", "href": null, "resource": null, "url": null, "code": null, "user": "DmitryRyumin", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 Keywords: #RoHM #HumanMotionReconstruction #DiffusionModels #3DAnimation #CVPR2024 #DeepLearning #ComputerVision #Innovation", "raw": "🔍 Keywords: #RoHM #HumanMotionReconstruction #DiffusionModels #3DAnimation #CVPR2024 #DeepLearning #ComputerVision #Innovation", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "A useful tool for journalists: AutoQuizzer generates a quiz from a URL. You can play the quiz, or let the LLM play it!", "raw": "A useful tool for journalists: AutoQuizzer generates a quiz from a URL. You can play the quiz, or let the LLM play it!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/deepset/autoquizzer", "href": null, "resource": { "type": "space", "id": "deepset/autoquizzer", "discussionNum": null }, "url": "https://huggingface.co/spaces/deepset/autoquizzer", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "For those with an interest in JA language models, this Llama 3 70B test ablation looks like it is the current strongest publicly released, commercially usable, open model available. A lot of caveats I know, but it also matches ", "raw": "For those with an interest in JA language models, this Llama 3 70B test ablation looks like it is the current strongest publicly released, commercially usable, open model available. A lot of caveats I know, but it also matches ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`gpt-3.5-turbo-0125`", "href": null, "resource": null, "url": null, "code": "gpt-3.5-turbo-0125", "user": null, "label": null, "lang": null }, { "type": "text", "value": "'s JA performance, which is worth noting, and is tuned *exclusively* with the old shisa-v1 dataset (so it's chart position will be very short lived).", "raw": "'s JA performance, which is worth noting, and is tuned *exclusively* with the old shisa-v1 dataset (so it's chart position will be very short lived).", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/shisa-ai/shisa-v1-llama3-70b", "href": null, "resource": { "type": "model", "id": "shisa-ai/shisa-v1-llama3-70b", "discussionNum": null }, "url": "https://huggingface.co/shisa-ai/shisa-v1-llama3-70b", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/augmxnt/ultra-orca-boros-en-ja-v1", "href": null, "resource": { "type": "dataset", "id": "augmxnt/ultra-orca-boros-en-ja-v1", "discussionNum": null }, "url": "https://huggingface.co/datasets/augmxnt/ultra-orca-boros-en-ja-v1", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🤗 SDXL Flash", "raw": "🤗 SDXL Flash", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.", "raw": "✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 Features of mini model:", "raw": "🚀 Features of mini model:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "It weighs less, consumes less video memory and other resources, and the quality has not dropped much.", "raw": "It weighs less, consumes less video memory and other resources, and the quality has not dropped much.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.", "raw": "👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "SDXL Flash: ", "raw": "SDXL Flash: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sd-community/sdxl-flash", "href": null, "resource": { "type": "model", "id": "sd-community/sdxl-flash", "discussionNum": null }, "url": "https://huggingface.co/sd-community/sdxl-flash", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "SDXL Flash Mini: ", "raw": "SDXL Flash Mini: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sd-community/sdxl-flash-mini", "href": null, "resource": { "type": "model", "id": "sd-community/sdxl-flash-mini", "discussionNum": null }, "url": "https://huggingface.co/sd-community/sdxl-flash-mini", "code": null, "user": null, "label": null, "lang": null } ]

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", "raw": ". ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Plus, you can now submit your model for automatic evaluation, thanks to to ", "raw": "Plus, you can now submit your model for automatic evaluation, thanks to to ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/seeweb", "href": "https://huggingface.co/seeweb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " sponsored computation.", "raw": " sponsored computation.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Curious about the top Italian models? Check out the leaderboard and submit your model!", "raw": "Curious about the top Italian models? Check out the leaderboard and submit your model!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard", "href": "https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Just released a new version of ", "raw": "Just released a new version of ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/vikhyatk/moondream2", "href": null, "resource": { "type": "model", "id": "vikhyatk/moondream2", "discussionNum": null }, "url": "https://huggingface.co/vikhyatk/moondream2", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - now supporting higher resolution images (up to 756x756)!", "raw": " - now supporting higher resolution images (up to 756x756)!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "TextVQA score (which measures the model's ability to read and reason about text in images) is up from 53.1 to 57.2 (+7.7%). Other visual question answering and counting benchmark results are up ~0.5%.", "raw": "TextVQA score (which measures the model's ability to read and reason about text in images) is up from 53.1 to 57.2 (+7.7%). Other visual question answering and counting benchmark results are up ~0.5%.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "You are happy that ", "raw": "You are happy that ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Meta", "href": null, "resource": null, "url": null, "code": null, "user": "Meta", "label": null, "lang": null }, { "type": "text", "value": " has open-sourced Llama 3 😃...", "raw": " has open-sourced Llama 3 😃...", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "So you jump on ", "raw": "So you jump on ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@HuggingFace", "href": null, "resource": null, "url": null, "code": null, "user": "HuggingFace", "label": null, "lang": null }, { "type": "text", "value": " Hub to download the new shiny Llama 3 model only to see a few quintillion Llama 3's! 🦙✨", "raw": " Hub to download the new shiny Llama 3 model only to see a few quintillion Llama 3's! 🦙✨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Which one should you use? 🤔", "raw": "Which one should you use? 🤔", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Not all Llamas are created equal! 🦙⚖️", "raw": "Not all Llamas are created equal! 🦙⚖️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "An absolutely crazy comparison experiment by Wolfram Ravenwolf (", "raw": "An absolutely crazy comparison experiment by Wolfram Ravenwolf (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Wolfram", "href": null, "resource": null, "url": null, "code": null, "user": "Wolfram", "label": null, "lang": null }, { "type": "text", "value": ") might answer your question! 🧪🧙‍♂️", "raw": ") might answer your question! 🧪🧙‍♂️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Comprehensive assessment of Llama 3 Instruct 70B and 8B models. 📊", "raw": "- Comprehensive assessment of Llama 3 Instruct 70B and 8B models. 📊", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Tested 20 versions across HF, GGUF, and EXL2 formats. 🔄", "raw": "- Tested 20 versions across HF, GGUF, and EXL2 formats. 🔄", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Methodology: The process tested translation capabilities and cross-language understanding, using deterministic generation settings to minimize random factors. Used German data protection training exams to evaluate cross-language understanding. 🌐📝", "raw": "- Methodology: The process tested translation capabilities and cross-language understanding, using deterministic generation settings to minimize random factors. Used German data protection training exams to evaluate cross-language understanding. 🌐📝", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Best performance from EXL2 4.5bpw quant, scoring perfect in all tests. 🏆✅", "raw": "- Best performance from EXL2 4.5bpw quant, scoring perfect in all tests. 🏆✅", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- GGUF 8-bit to 4-bit quants also performed exceptionally. 🌟", "raw": "- GGUF 8-bit to 4-bit quants also performed exceptionally. 🌟", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Llama 3 8B unquantized is best in its size class but not as good as 70B quants. 📏🔍", "raw": "- Llama 3 8B unquantized is best in its size class but not as good as 70B quants. 📏🔍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- 1-bit quantizations showed significant quality drops. ⚠️⬇️", "raw": "- 1-bit quantizations showed significant quality drops. ⚠️⬇️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Best models: ", "raw": "Best models: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/turboderp/Llama-3-70B-Instruct-exl2/tree/5.0bpw", "href": null, "resource": { "type": "model", "id": "turboderp/Llama-3-70B-Instruct-exl2", "discussionNum": null }, "url": "https://huggingface.co/turboderp/Llama-3-70B-Instruct-exl2/tree/5.0bpw", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- ", "raw": "- ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/casperhansen/llama-3-70b-instruct-awq", "href": null, "resource": { "type": "model", "id": "casperhansen/llama-3-70b-instruct-awq", "discussionNum": null }, "url": "https://huggingface.co/casperhansen/llama-3-70b-instruct-awq", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Blog: ", "raw": "Blog: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/wolfram/llm-comparison-test-llama-3", "href": "https://huggingface.co/blog/wolfram/llm-comparison-test-llama-3", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "After spending some time practicing tokenization, I have come to realize that the difficulties we face in understanding each other are analogous to the challenges faced by LLMs in processing and interpreting tokens - as in untrained tokens lead to out of distribution qualms.", "raw": "After spending some time practicing tokenization, I have come to realize that the difficulties we face in understanding each other are analogous to the challenges faced by LLMs in processing and interpreting tokens - as in untrained tokens lead to out of distribution qualms.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "One could think of how we understand as a process that involves trained tokens (known/learned facts) grappling with prompts/tweets/lessons from someone else. This process is distinct for each person - with unique encoding, decoding, merging and splitting patterns. ", "raw": "One could think of how we understand as a process that involves trained tokens (known/learned facts) grappling with prompts/tweets/lessons from someone else. This process is distinct for each person - with unique encoding, decoding, merging and splitting patterns. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This distinction might as well be categorized in gpt levels lol, which brings the question what level of tokenizer are you? GPT-2, GPT-3, GPT-4 or GPT-4o tokenizer:)", "raw": "This distinction might as well be categorized in gpt levels lol, which brings the question what level of tokenizer are you? GPT-2, GPT-3, GPT-4 or GPT-4o tokenizer:)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Papers:", "raw": "Papers:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Neural Machine Translation of Rare Words with Subword Units (", "raw": "- Neural Machine Translation of Rare Words with Subword Units (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/1508.07909", "href": "https://arxiv.org/abs/1508.07909", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ")", "raw": ")", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Learning to Compress Prompts with Gist Tokens", "raw": "- Learning to Compress Prompts with Gist Tokens", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "(", "raw": "(", 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[ { "type": "text", "value": "StarCoder 15b Instruct v0.1 Space w/ Llama.cpp & Code Completion!", "raw": "StarCoder 15b Instruct v0.1 Space w/ Llama.cpp & Code Completion!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Hey all! I made a little StarCoder space, it's up for fun, have at it, pls make tons of pr's and requests, I love to improve my work for you all!", "raw": "Hey all! I made a little StarCoder space, it's up for fun, have at it, pls make tons of pr's and requests, I love to improve my work for you all!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/MrOvkill/starcoder-15b-instruct", "href": null, "resource": { "type": "space", "id": "MrOvkill/starcoder-15b-instruct", "discussionNum": null }, "url": "https://huggingface.co/spaces/MrOvkill/starcoder-15b-instruct", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I hardly tested this text generation merged model before releasing it a few months ago. Now it's been receiving attention recently in the form of quants.", "raw": "I hardly tested this text generation merged model before releasing it a few months ago. Now it's been receiving attention recently in the form of quants.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B", "href": null, "resource": { "type": "model", "id": "grimjim/kunoichi-lemon-royale-v2-32K-7B", "discussionNum": null }, "url": "https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Judging from download numbers for GGUF quants, people appear to be using it, and at least one person has a merge formula that incorporated the model.", "raw": "Judging from download numbers for GGUF quants, people appear to be using it, and at least one person has a merge formula that incorporated the model.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-GGUF", "href": null, "resource": { "type": "model", "id": "bartowski/kunoichi-lemon-royale-v2-32K-7B-GGUF", "discussionNum": null }, "url": "https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-GGUF", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2", "href": null, "resource": { "type": "model", "id": "bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2", "discussionNum": null }, "url": "https://huggingface.co/bartowski/kunoichi-lemon-royale-v2-32K-7B-exl2", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/mradermacher/kunoichi-lemon-royale-v2-32K-7B-GGUF", "href": null, "resource": { "type": "model", "id": "mradermacher/kunoichi-lemon-royale-v2-32K-7B-GGUF", "discussionNum": null }, "url": "https://huggingface.co/mradermacher/kunoichi-lemon-royale-v2-32K-7B-GGUF", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Decoding GPT-4'o': Its Mechanisms and Creating Similar AI.", "raw": "Decoding GPT-4'o': Its Mechanisms and Creating Similar AI.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝗥𝗲𝗮𝗱 𝗙𝘂𝗹𝗹 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: ", "raw": "𝗥𝗲𝗮𝗱 𝗙𝘂𝗹𝗹 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/KingNish/decoding-gpt-4o", "href": "https://huggingface.co/blog/KingNish/decoding-gpt-4o", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝐒𝐮𝐦𝐦𝐚𝐫𝐲 𝐨𝐟 𝐀𝐫𝐭𝐢𝐜𝐥𝐞- 📝", "raw": "𝐒𝐮𝐦𝐦𝐚𝐫𝐲 𝐨𝐟 𝐀𝐫𝐭𝐢𝐜𝐥𝐞- 📝", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "# 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜𝐬 𝐨𝐟 𝐆𝐏𝐓-𝟒’𝐨’: GPT-4’o’ operates through three main components 🛠️", "raw": "# 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜𝐬 𝐨𝐟 𝐆𝐏𝐓-𝟒’𝐨’: GPT-4’o’ operates through three main components 🛠️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝟏. 𝐒𝐮𝐩𝐞𝐫𝐂𝐡𝐚𝐭: Integrates image generation, QnA (image, document and video) for diverse interactions. ", "raw": "𝟏. 𝐒𝐮𝐩𝐞𝐫𝐂𝐡𝐚𝐭: Integrates image generation, QnA (image, document and video) for diverse interactions. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝟐. 𝐕𝐨𝐢𝐜𝐞 𝐂𝐡𝐚𝐭: Merges TTS and STT for real-time, human-like audio responses, focusing on human interaction. ", "raw": "𝟐. 𝐕𝐨𝐢𝐜𝐞 𝐂𝐡𝐚𝐭: Merges TTS and STT for real-time, human-like audio responses, focusing on human interaction. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝟑. 𝐕𝐢𝐝𝐞𝐨 𝐂𝐡𝐚𝐭: Utilizes Zero Shot Image Classification to enhance user interaction with visual information.", "raw": "𝟑. 𝐕𝐢𝐝𝐞𝐨 𝐂𝐡𝐚𝐭: Utilizes Zero Shot Image Classification to enhance user interaction with visual information.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "# 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐞 𝐒𝐢𝐦𝐢𝐥𝐚𝐫 𝐀𝐈 🧠", "raw": "# 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐞 𝐒𝐢𝐦𝐢𝐥𝐚𝐫 𝐀𝐈 🧠", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝟏. 𝐌𝐮𝐥𝐭𝐢𝐌𝐨𝐝𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Combines multiple models for a powerful, multifunctional AI. ", "raw": "𝟏. 𝐌𝐮𝐥𝐭𝐢𝐌𝐨𝐝𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Combines multiple models for a powerful, multifunctional AI. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝟐. 𝐃𝐮𝐜𝐭 𝐓𝐚𝐩𝐞 𝐌𝐞𝐭𝐡𝐨𝐝: Uses different models or APIs for specific tasks without additional training.", "raw": "𝟐. 𝐃𝐮𝐜𝐭 𝐓𝐚𝐩𝐞 𝐌𝐞𝐭𝐡𝐨𝐝: Uses different models or APIs for specific tasks without additional training.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The article provides an in-depth exploration of GPT-4’o’, its functionalities, and methods to create similar AI models. It emphasizes the model’s language support and its innovative approach to human-AI interaction. 💡🌐", "raw": "The article provides an in-depth exploration of GPT-4’o’, its functionalities, and methods to create similar AI models. It emphasizes the model’s language support and its innovative approach to human-AI interaction. 💡🌐", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "(𝙉𝙊𝙏𝙀: 𝙎𝙪𝙢𝙢𝙖𝙧𝙮 𝙞𝙨 𝘼𝙄 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙) ✅", "raw": "(𝙉𝙊𝙏𝙀: 𝙎𝙪𝙢𝙢𝙖𝙧𝙮 𝙞𝙨 𝘼𝙄 𝙜𝙚𝙣𝙚𝙧𝙖𝙩𝙚𝙙) ✅", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "With slurm figured out and ablations humming along, I though I'd update and post my understanding of the legal status of training data in Japan. It is in general, much clearer in the US: ", "raw": "With slurm figured out and ablations humming along, I though I'd update and post my understanding of the legal status of training data in Japan. It is in general, much clearer in the US: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/leonardlin/ai-training-data-in-japan", "href": "https://huggingface.co/blog/leonardlin/ai-training-data-in-japan", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🎭 You picked an LLM for your work but then you find out it hallucinates! 🤖", "raw": "🎭 You picked an LLM for your work but then you find out it hallucinates! 🤖", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤔 Your first thought might be to fine-tune it on more training data.... but should you? 🛠️", "raw": "🤔 Your first thought might be to fine-tune it on more training data.... but should you? 🛠️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📜 This is what ", "raw": "📜 This is what ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Google", "href": null, "resource": null, "url": null, "code": null, "user": "Google", "label": null, "lang": null }, { "type": "text", "value": " is exploring in the paper \"Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?\" 🕵️‍♂️", "raw": " is exploring in the paper \"Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?\" 🕵️‍♂️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📘 When LLMs undergo supervised fine-tuning with new factual knowledge not present in their initial training data, there is a risk they might \"hallucinate\" or produce factually incorrect information. 🚨", "raw": "📘 When LLMs undergo supervised fine-tuning with new factual knowledge not present in their initial training data, there is a risk they might \"hallucinate\" or produce factually incorrect information. 🚨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 The paper investigates how fine-tuning LLMs with new facts influences their ability to leverage pre-existing knowledge and the extent to which they generate errors. 📊", "raw": "🔍 The paper investigates how fine-tuning LLMs with new facts influences their ability to leverage pre-existing knowledge and the extent to which they generate errors. 📊", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚙️Technical Setup:", "raw": "⚙️Technical Setup:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔧 Approach: They introduce a system named SliCK (this stands for Sampling-based Categorization of Knowledge, don't even bother understanding how) to categorize knowledge into four levels (HighlyKnown, MaybeKnown, WeaklyKnown, and Unknown) based on how well the model's generated responses agree with known facts. 🗂️", "raw": "🔧 Approach: They introduce a system named SliCK (this stands for Sampling-based Categorization of Knowledge, don't even bother understanding how) to categorize knowledge into four levels (HighlyKnown, MaybeKnown, WeaklyKnown, and Unknown) based on how well the model's generated responses agree with known facts. 🗂️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📝 Experimental Setup: The study uses a controlled setup focusing on closed-book QA, adjusting the proportion of fine-tuning examples that introduce new facts versus those that do not. 🧪", "raw": "📝 Experimental Setup: The study uses a controlled setup focusing on closed-book QA, adjusting the proportion of fine-tuning examples that introduce new facts versus those that do not. 🧪", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 Here is the gist of the findings:", "raw": "👉 Here is the gist of the findings:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚸 LLMs struggle to integrate new factual knowledge during fine-tuning, and such examples are learned slower than those consistent with the model's pre-existing knowledge. 🐢", "raw": "🚸 LLMs struggle to integrate new factual knowledge during fine-tuning, and such examples are learned slower than those consistent with the model's pre-existing knowledge. 🐢", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📈 As LLMs learn from examples containing new knowledge, their propensity to hallucinate increases. 👻", "raw": "📈 As LLMs learn from examples containing new knowledge, their propensity to hallucinate increases. 👻", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⏱️ Early stopping during training can mitigate the risks of hallucinations by minimizing exposure to unlearned new facts. 🛑", "raw": "⏱️ Early stopping during training can mitigate the risks of hallucinations by minimizing exposure to unlearned new facts. 🛑", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧠 Training LLMs mostly with known examples leads to better utilization of pre-existing knowledge, whereas examples introducing new knowledge increase the risk of generating incorrect information. 🏗️", "raw": "🧠 Training LLMs mostly with known examples leads to better utilization of pre-existing knowledge, whereas examples introducing new knowledge increase the risk of generating incorrect information. 🏗️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📄 Paper: ", "raw": "📄 Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.05904", "href": null, "resource": { "type": "paper", "id": "2405.05904", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.05904", "code": null, "user": null, "label": "Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? (2405.05904)", "lang": null }, { "type": "text", "value": " 📚", "raw": " 📚", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Free Guide: How to Fine-Tune and Prompt Engineer LLMs", "raw": "Free Guide: How to Fine-Tune and Prompt Engineer LLMs", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "While some of the most forward-thinking companies in the world are already using LLMs, few organizations have the bandwidth, compute, or money to train foundational models in-house. It’s become much more common to either fine-tune or prompt engineer existing LLMs for unique business needs. In this guide, you’ll learn:", "raw": "While some of the most forward-thinking companies in the world are already using LLMs, few organizations have the bandwidth, compute, or money to train foundational models in-house. It’s become much more common to either fine-tune or prompt engineer existing LLMs for unique business needs. In this guide, you’ll learn:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• How to choose between fine-tuning and prompting", "raw": "• How to choose between fine-tuning and prompting", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• Popular fine-tuning strategies and their trade-offs", "raw": "• Popular fine-tuning strategies and their trade-offs", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• Tasks where fine-tuning excels vs. ones where it doesn’t", "raw": "• Tasks where fine-tuning excels vs. ones where it doesn’t", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• Tips and current best practices for prompt engineering", "raw": "• Tips and current best practices for prompt engineering", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "• And a whole lot more!", "raw": "• And a whole lot more!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Link: ", "raw": "Link: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://wandb.ai/site/resources/whitepapers/llm-fine-tuning", "href": "https://wandb.ai/site/resources/whitepapers/llm-fine-tuning", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Mm what a good time for a new merge!", "raw": "Mm what a good time for a new merge!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This is a merge of 6 models that were finetuned on llama3 8b. This has done pretty decent on some coding tasks, for the parameter size. I have looked through models because a lot of people cannot run 33B models (deepseek) for coding.", "raw": "This is a merge of 6 models that were finetuned on llama3 8b. This has done pretty decent on some coding tasks, for the parameter size. I have looked through models because a lot of people cannot run 33B models (deepseek) for coding.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Original Model: ", "raw": "Original Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Walmart-the-bag/Llama-3-LizardCoder-8B", "href": null, "resource": { "type": "model", "id": "Walmart-the-bag/Llama-3-LizardCoder-8B", "discussionNum": null }, "url": "https://huggingface.co/Walmart-the-bag/Llama-3-LizardCoder-8B", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "GGUF: ", "raw": "GGUF: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Walmart-the-bag/Llama-3-LizardCoder-8B-GGUF", "href": null, "resource": { "type": "model", "id": "Walmart-the-bag/Llama-3-LizardCoder-8B-GGUF", "discussionNum": null }, "url": "https://huggingface.co/Walmart-the-bag/Llama-3-LizardCoder-8B-GGUF", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "New Updates OpenGPT 4o", "raw": "New Updates OpenGPT 4o", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. Live Chat (also known as video chat) (very powerful and fast, it can even identify famous places and persons)", "raw": "1. Live Chat (also known as video chat) (very powerful and fast, it can even identify famous places and persons)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. Powerful Image Generation ", "raw": "2. Powerful Image Generation ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Test and give feedback of New features: ", "raw": "Test and give feedback of New features: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/KingNish/OpenGPT-4o", "href": null, "resource": { "type": "space", "id": "KingNish/OpenGPT-4o", "discussionNum": null }, "url": "https://huggingface.co/spaces/KingNish/OpenGPT-4o", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Future Updates", "raw": "Future Updates", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. PDF Chat", "raw": "1. PDF Chat", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. Human like speech (Using Parler tts expresso)", "raw": "2. Human like speech (Using Parler tts expresso)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. Multilingual support for voice chat", "raw": "3. Multilingual support for voice chat", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Suggest more features that should be added. 🤗", "raw": "Suggest more features that should be added. 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Edit: Live Chat is now very powerful (than prev)", "raw": "Edit: Live Chat is now very powerful (than prev)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "How many times have you said Pandas is slow and still kept on using it? 🐼💨", "raw": "How many times have you said Pandas is slow and still kept on using it? 🐼💨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Get ready to say Pandas can be fast but it's expensive 😂", "raw": "Get ready to say Pandas can be fast but it's expensive 😂", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🙌 Original Limitations:", "raw": "🙌 Original Limitations:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💻 CPU-Bound Processing: Traditional pandas operations are CPU-bound (mostly single-threaded😰), leading to slower processing of large datasets.", "raw": "💻 CPU-Bound Processing: Traditional pandas operations are CPU-bound (mostly single-threaded😰), leading to slower processing of large datasets.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧠 Memory Constraints: Handling large datasets in memory-intensive operations can lead to inefficiencies and limitations.", "raw": "🧠 Memory Constraints: Handling large datasets in memory-intensive operations can lead to inefficiencies and limitations.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝌣 Achievements with ", "raw": "𝌣 Achievements with ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@nvidia", "href": null, "resource": null, "url": null, "code": null, "user": "nvidia", "label": null, "lang": null }, { "type": "text", "value": " RAPIDS cuDF:", "raw": " RAPIDS cuDF:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 GPU Acceleration: RAPIDS cuDF leverages GPU computing. Users switch to GPU-accelerated operations without modifying existing pandas code. ", "raw": "🚀 GPU Acceleration: RAPIDS cuDF leverages GPU computing. Users switch to GPU-accelerated operations without modifying existing pandas code. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔄 Unified Workflows: Seamlessly integrates GPU and CPU operations, falling back to CPU when necessary. ", "raw": "🔄 Unified Workflows: Seamlessly integrates GPU and CPU operations, falling back to CPU when necessary. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📈 Optimized Performance: With extreme parallel operation opportunity of GPUs, this achieves up to 150x speedup in data processing, demonstrated through benchmarks like DuckDB.", "raw": "📈 Optimized Performance: With extreme parallel operation opportunity of GPUs, this achieves up to 150x speedup in data processing, demonstrated through benchmarks like DuckDB.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "😅New Limitations: ", "raw": "😅New Limitations: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎮 GPU Availability: Requires a GPU (not everything should need a GPU) ", "raw": "🎮 GPU Availability: Requires a GPU (not everything should need a GPU) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔄 Library Compatibility: Currently in the initial stages, all the functionality cannot be ported ", "raw": "🔄 Library Compatibility: Currently in the initial stages, all the functionality cannot be ported ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🐢 Data Transfer Overhead: Moving data between CPU and GPU can introduce latency if not managed efficiently. As some operations still run on the CPU. ", "raw": "🐢 Data Transfer Overhead: Moving data between CPU and GPU can introduce latency if not managed efficiently. As some operations still run on the CPU. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤔 User Adoption: We already had vectorization support in Pandas, people just didn't use it as it was difficult to implement. We already had DASK for parallelization. It's not that solutions didn't exist", "raw": "🤔 User Adoption: We already had vectorization support in Pandas, people just didn't use it as it was difficult to implement. We already had DASK for parallelization. It's not that solutions didn't exist", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Blog: ", "raw": "Blog: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://developer.nvidia.com/blog/rapids-cudf-accelerates-pandas-nearly-150x-with-zero-code-changes/", "href": "https://developer.nvidia.com/blog/rapids-cudf-accelerates-pandas-nearly-150x-with-zero-code-changes/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For Jupyter Notebooks:", "raw": "For Jupyter Notebooks:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\n%load_ext cudf.pandas\nimport pandas as pd\n```", "href": null, "resource": null, "url": null, "code": "%load_ext cudf.pandas\nimport pandas as pd", "user": null, "label": null, "lang": "python" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For python scripts:", "raw": "For python scripts:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```shell\npython -m cudf.pandas script.py\n```", "href": null, "resource": null, "url": null, "code": "python -m cudf.pandas script.py", "user": null, "label": null, "lang": "shell" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🚀 Stockmark-100b", "raw": "🚀 Stockmark-100b", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Stockmark Inc. has developed and released one of Japan's largest commercial-scale Language Models (LLM) with 100 billion parameters, named \"Stockmark-LLM-100b\". This model significantly reduces hallucinations and provides accurate responses to complex business-related queries. Developed from scratch with a focus on Japanese business data, the model aims to be reliable for high-stakes business environments. It's open-source and available for commercial use.", "raw": "Stockmark Inc. has developed and released one of Japan's largest commercial-scale Language Models (LLM) with 100 billion parameters, named \"Stockmark-LLM-100b\". This model significantly reduces hallucinations and provides accurate responses to complex business-related queries. Developed from scratch with a focus on Japanese business data, the model aims to be reliable for high-stakes business environments. It's open-source and available for commercial use.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Key highlights:", "raw": "Key highlights:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- The model reduces hallucinations—incorrect confident responses that AI models sometimes generate.", "raw": "- The model reduces hallucinations—incorrect confident responses that AI models sometimes generate.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Stockmark-LLM-100b can answer basic business questions and specialized queries in industries like manufacturing.", "raw": "- Stockmark-LLM-100b can answer basic business questions and specialized queries in industries like manufacturing.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- The model's performance surpasses GPT-4-turbo in accuracy for business-specific queries.", "raw": "- The model's performance surpasses GPT-4-turbo in accuracy for business-specific queries.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Evaluation benchmarks (VicunaQA) show high performance.", "raw": "- Evaluation benchmarks (VicunaQA) show high performance.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Fast inference speed, generating 100-character Japanese text in 1.86 seconds.", "raw": "- Fast inference speed, generating 100-character Japanese text in 1.86 seconds.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/stockmark/stockmark-100b", "href": null, "resource": { "type": "model", "id": "stockmark/stockmark-100b", "discussionNum": null }, "url": "https://huggingface.co/stockmark/stockmark-100b", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/stockmark/stockmark-100b-instruct-v0.1", "href": null, "resource": { "type": "model", "id": "stockmark/stockmark-100b-instruct-v0.1", "discussionNum": null }, "url": "https://huggingface.co/stockmark/stockmark-100b-instruct-v0.1", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Detailed press release (in Japanese): ", "raw": "Detailed press release (in Japanese): ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://stockmark.co.jp/news/20240516", "href": "https://stockmark.co.jp/news/20240516", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "llm-jp-eval is currently one of the most widely used benchmarks for Japanese LLMs and is half of WandB's comprehensive Nejumi LLM Leaderboard scoring. I was seeing some weirdness in results I was getting and ended up in a bit of a rabbit hole. Here's my article on evaling llm-jp-eval: ", "raw": "llm-jp-eval is currently one of the most widely used benchmarks for Japanese LLMs and is half of WandB's comprehensive Nejumi LLM Leaderboard scoring. I was seeing some weirdness in results I was getting and ended up in a bit of a rabbit hole. Here's my article on evaling llm-jp-eval: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/leonardlin/llm-jp-eval-eval", "href": "https://huggingface.co/blog/leonardlin/llm-jp-eval-eval", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I've setup a fork of Lightblue's Shaberi testing framework which uses LLM-as-a-Judge style benchmarks as something probably more representative of real world LLM strength in Japanese. Here's how the new base model ablations are looking:", "raw": "I've setup a fork of Lightblue's Shaberi testing framework which uses LLM-as-a-Judge style benchmarks as something probably more representative of real world LLM strength in Japanese. Here's how the new base model ablations are looking:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Introducing StyleTTS 2 detector, an audio classification model to detect StyleTTS 2 vs human-generated content!", "raw": "Introducing StyleTTS 2 detector, an audio classification model to detect StyleTTS 2 vs human-generated content!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dual-licensed under MIT/Apache 2.0.", "raw": "Dual-licensed under MIT/Apache 2.0.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model Weights: ", "raw": "Model Weights: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/mrfakename/styletts2-detector", "href": null, "resource": { "type": "model", "id": "mrfakename/styletts2-detector", "discussionNum": null }, "url": "https://huggingface.co/mrfakename/styletts2-detector", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Spaces: ", "raw": "Spaces: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/mrfakename/styletts2-detector", "href": null, "resource": { "type": "space", "id": "mrfakename/styletts2-detector", "discussionNum": null }, "url": "https://huggingface.co/spaces/mrfakename/styletts2-detector", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "If you're a researcher or developing your own model 👀 you might need to take a look at huggingface's ModelHubMixin classes.", "raw": "If you're a researcher or developing your own model 👀 you might need to take a look at huggingface's ModelHubMixin classes.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "They are used to seamlessly integrate your AI model with huggingface and to save/ load your model easily 🚀", "raw": "They are used to seamlessly integrate your AI model with huggingface and to save/ load your model easily 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1️⃣ make sure you're using the appropriate library version", "raw": "1️⃣ make sure you're using the appropriate library version", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\npip install -qU \"huggingface_hub>=0.22\"\n```", "href": null, "resource": null, "url": null, "code": "pip install -qU \"huggingface_hub>=0.22\"", "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2️⃣ inherit from the appropriate class", "raw": "2️⃣ inherit from the appropriate class", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\nfrom huggingface_hub import PyTorchModelHubMixin\nfrom torch import nn\n\nclass MyModel(nn.Module,PyTorchModelHubMixin):\n def __init__(self, a, b):\n super().__init__()\n self.layer = nn.Linear(a,b)\n def forward(self,inputs):\n return self.layer(inputs)\n\nfirst_model = MyModel(3,1)\n```", "href": null, "resource": null, "url": null, "code": "from huggingface_hub import PyTorchModelHubMixin\nfrom torch import nn\n\nclass MyModel(nn.Module,PyTorchModelHubMixin):\n def __init__(self, a, b):\n super().__init__()\n self.layer = nn.Linear(a,b)\n def forward(self,inputs):\n return self.layer(inputs)\n\nfirst_model = MyModel(3,1)", "user": null, "label": null, "lang": "python" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "4️⃣ push the model to the hub (or use save_pretrained method to save locally) ", "raw": "4️⃣ push the model to the hub (or use save_pretrained method to save locally) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\nfirst_model.push_to_hub(\"not-lain/test\")\n```", "href": null, "resource": null, "url": null, "code": "first_model.push_to_hub(\"not-lain/test\")", "user": null, "label": null, "lang": "python" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "5️⃣ Load and initialize the model from the hub using the original class", "raw": "5️⃣ Load and initialize the model from the hub using the original class", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\npretrained_model = MyModel.from_pretrained(\"not-lain/test\")\n```", "href": null, "resource": null, "url": null, "code": "pretrained_model = MyModel.from_pretrained(\"not-lain/test\")", "user": null, "label": null, "lang": "python" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📚 Introducing the 101 Billion Arabic Words Dataset", "raw": "📚 Introducing the 101 Billion Arabic Words Dataset", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌐 Exciting Milestone in Arabic Language Technology! hashtag#NLP hashtag#ArabicLLM hashtag#LanguageModels", "raw": "🌐 Exciting Milestone in Arabic Language Technology! hashtag#NLP hashtag#ArabicLLM hashtag#LanguageModels", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 Why It Matters:", "raw": "🚀 Why It Matters:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. 🌟 Large Language Models (LLMs) have brought transformative changes, primarily in English. It's time for Arabic to shine!", "raw": "1. 🌟 Large Language Models (LLMs) have brought transformative changes, primarily in English. It's time for Arabic to shine!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. 🎯 This project addresses the critical challenge of bias in Arabic LLMs due to reliance on translated datasets.", "raw": "2. 🎯 This project addresses the critical challenge of bias in Arabic LLMs due to reliance on translated datasets.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 Approach:", "raw": "🔍 Approach:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. 💪 Undertook a massive data mining initiative focusing exclusively on Arabic from Common Crawl WET files.", "raw": "1. 💪 Undertook a massive data mining initiative focusing exclusively on Arabic from Common Crawl WET files.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. 🧹 Employed state-of-the-art cleaning and deduplication processes to maintain data quality and uniqueness.", "raw": "2. 🧹 Employed state-of-the-art cleaning and deduplication processes to maintain data quality and uniqueness.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📈 Impact:", "raw": "📈 Impact:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. 🏆 Created the largest Arabic dataset to date with 101 billion words.", "raw": "1. 🏆 Created the largest Arabic dataset to date with 101 billion words.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. 📝 Enables the development of Arabic LLMs that are linguistically and culturally accurate.", "raw": "2. 📝 Enables the development of Arabic LLMs that are linguistically and culturally accurate.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. 🌍 Sets a global benchmark for future Arabic language research.", "raw": "3. 🌍 Sets a global benchmark for future Arabic language research.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 Paper: ", "raw": "🔗 Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://lnkd.in/dGAiaygn", "href": "https://lnkd.in/dGAiaygn", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 Dataset: ", "raw": "🔗 Dataset: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://lnkd.in/dGTMe5QV", "href": "https://lnkd.in/dGTMe5QV", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- 🔄 Share your thoughts and let's drive the future of Arabic NLP together!", "raw": "- 🔄 Share your thoughts and let's drive the future of Arabic NLP together!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "hashtag#DataScience hashtag#MachineLearning hashtag#ArtificialIntelligence hashtag#Innovation hashtag#ArabicData", "raw": "hashtag#DataScience hashtag#MachineLearning hashtag#ArtificialIntelligence hashtag#Innovation hashtag#ArabicData", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Chameleon", "raw": "Chameleon", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Mixed-Modal Early-Fusion Foundation Models", "raw": "Mixed-Modal Early-Fusion Foundation Models", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2405.09818", "href": null, "resource": { "type": "paper", "id": "2405.09818", "discussionNum": null }, "url": "https://huggingface.co/papers/2405.09818", "code": null, "user": null, "label": "Chameleon: Mixed-Modal Early-Fusion Foundation Models (2405.09818)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We present Chameleon, a family of early-fusion token-based mixed-modal models capable of understanding and generating images and text in any arbitrary sequence. We outline a stable training approach from inception, an alignment recipe, and an architectural parameterization tailored for the early-fusion, token-based, mixed-modal setting. The models are evaluated on a comprehensive range of tasks, including visual question answering, image captioning, text generation, image generation, and long-form mixed modal generation. Chameleon demonstrates broad and general capabilities, including state-of-the-art performance in image captioning tasks, outperforms Llama-2 in text-only tasks while being competitive with models such as Mixtral 8x7B and Gemini-Pro, and performs non-trivial image generation, all in a single model. It also matches or exceeds the performance of much larger models, including Gemini Pro and GPT-4V, according to human judgments on a new long-form mixed-modal generation evaluation, where either the prompt or outputs contain mixed sequences of both images and text. Chameleon marks a significant step forward in a unified modeling of full multimodal documents.", "raw": "We present Chameleon, a family of early-fusion token-based mixed-modal models capable of understanding and generating images and text in any arbitrary sequence. We outline a stable training approach from inception, an alignment recipe, and an architectural parameterization tailored for the early-fusion, token-based, mixed-modal setting. The models are evaluated on a comprehensive range of tasks, including visual question answering, image captioning, text generation, image generation, and long-form mixed modal generation. Chameleon demonstrates broad and general capabilities, including state-of-the-art performance in image captioning tasks, outperforms Llama-2 in text-only tasks while being competitive with models such as Mixtral 8x7B and Gemini-Pro, and performs non-trivial image generation, all in a single model. It also matches or exceeds the performance of much larger models, including Gemini Pro and GPT-4V, according to human judgments on a new long-form mixed-modal generation evaluation, where either the prompt or outputs contain mixed sequences of both images and text. Chameleon marks a significant step forward in a unified modeling of full multimodal documents.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I got asked about PaliGemma's document understanding capabilities, so I built a Space that has all the PaliGemma fine-tuned doc models 📄📊📖 ", "raw": "I got asked about PaliGemma's document understanding capabilities, so I built a Space that has all the PaliGemma fine-tuned doc models 📄📊📖 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/merve/paligemma-doc", "href": null, "resource": { "type": "space", "id": "merve/paligemma-doc", "discussionNum": null }, "url": "https://huggingface.co/spaces/merve/paligemma-doc", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🎉 Happy to announce about the collection called \"Blackhole\". It is a black hole of high quality data in many fields, multilingual to train LLMs with SFT and DPO methods.", "raw": "🎉 Happy to announce about the collection called \"Blackhole\". It is a black hole of high quality data in many fields, multilingual to train LLMs with SFT and DPO methods.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📦 There are now over 30++ high-quality datasets available so you can start creating interesting models. It will be updated in the future, glad if it helps someone.", "raw": "📦 There are now over 30++ high-quality datasets available so you can start creating interesting models. It will be updated in the future, glad if it helps someone.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/lamhieu/blackhole-66473b7feec034b4fb70818a", "href": null, "resource": { "type": "collection", "id": "lamhieu/blackhole-66473b7feec034b4fb70818a", "discussionNum": null }, "url": "https://huggingface.co/collections/lamhieu/blackhole-66473b7feec034b4fb70818a", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Just passed the 25 models milestone on the ", "raw": "Just passed the 25 models milestone on the ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard", "href": null, "resource": { "type": "space", "id": "OALL/Open-Arabic-LLM-Leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " 🥳", "raw": " 🥳", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "And now ", "raw": "And now ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "href": null, "resource": { "type": "model", "id": "meta-llama/Meta-Llama-3-70B-Instruct", "discussionNum": null }, "url": "https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " is the new hero of the leaderboard beating ", "raw": " is the new hero of the leaderboard beating ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", "href": null, "resource": { "type": "model", "id": "CohereForAI/c4ai-command-r-v01", "discussionNum": null }, "url": "https://huggingface.co/CohereForAI/c4ai-command-r-v01", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " by 5.43 points 🔥", "raw": " by 5.43 points 🔥", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Almost another 80 models are still PENDING ! So this might change very fast in the upcoming days", "raw": "Almost another 80 models are still PENDING ! So this might change very fast in the upcoming days", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Easily convert your script-based datasets to Parquet and explore them in the dataset viewer. 🌟", "raw": "Easily convert your script-based datasets to Parquet and explore them in the dataset viewer. 🌟", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🛠️ Use ", "raw": "🛠️ Use ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@huggingface", "href": null, "resource": null, "url": null, "code": null, "user": "huggingface", "label": null, "lang": null }, { "type": "text", "value": " Datasets CLI:", "raw": " Datasets CLI:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "$ 𝚍𝚊𝚝𝚊𝚜𝚎𝚝𝚜-𝚌𝚕𝚒 𝚌𝚘𝚗𝚟𝚎𝚛𝚝_𝚝𝚘_𝚙𝚊𝚛𝚚𝚞𝚎𝚝 𝚄𝚂𝙴𝚁𝙽𝙰𝙼𝙴/𝙳𝙰𝚃𝙰𝚂𝙴𝚃_𝙽𝙰𝙼𝙴", "raw": "$ 𝚍𝚊𝚝𝚊𝚜𝚎𝚝𝚜-𝚌𝚕𝚒 𝚌𝚘𝚗𝚟𝚎𝚛𝚝_𝚝𝚘_𝚙𝚊𝚛𝚚𝚞𝚎𝚝 𝚄𝚂𝙴𝚁𝙽𝙰𝙼𝙴/𝙳𝙰𝚃𝙰𝚂𝙴𝚃_𝙽𝙰𝙼𝙴", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Learn more: ", "raw": "Learn more: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet", "href": "https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "#Data #AI", "raw": "#Data #AI", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Why salesforce removedSFR-Iterative-DPO-LLaMA-3-8B-R ? Any ideas?", "raw": "Why salesforce removedSFR-Iterative-DPO-LLaMA-3-8B-R ? Any ideas?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Introducing Sailor-14B Model and Sailor2 Project 🚢", "raw": "Introducing Sailor-14B Model and Sailor2 Project 🚢", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!", "raw": "We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.", "raw": "✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.", "raw": "✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏠Home: ", "raw": "🏠Home: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://sailorllm.github.io", "href": "https://sailorllm.github.io", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤗Model: ", "raw": "🤗Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/sail/Sailor-14B-Chat", "href": null, "resource": { "type": "model", "id": "sail/Sailor-14B-Chat", "discussionNum": null }, "url": "https://huggingface.co/sail/Sailor-14B-Chat", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💻Demo: ", "raw": "💻Demo: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/sail/Sailor-14B-Chat", "href": null, "resource": { "type": "space", "id": "sail/Sailor-14B-Chat", "discussionNum": null }, "url": "https://huggingface.co/spaces/sail/Sailor-14B-Chat", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨", "raw": "We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.", "raw": "🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.", "raw": "🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.", "raw": "🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍", "raw": "🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Let's sail together and enjoy the journey!⚓", "raw": "Let's sail together and enjoy the journey!⚓", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🎉 A new LLM is launched! 🚀 ", "raw": "🎉 A new LLM is launched! 🚀 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "After checking if it's open-source or not, 🤔 ", "raw": "After checking if it's open-source or not, 🤔 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "you rush to see the benchmarks... 🏃‍♂️💨", "raw": "you rush to see the benchmarks... 🏃‍♂️💨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Which benchmark does everyone check first? 🔍", "raw": "Which benchmark does everyone check first? 🔍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "MMLU (Massive Multitask Language Understanding)? 📚", "raw": "MMLU (Massive Multitask Language Understanding)? 📚", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Benchmarks like MMLU reaching saturation... most of the time the performance does not translate to real-world use cases! 🌐❗", "raw": "Benchmarks like MMLU reaching saturation... most of the time the performance does not translate to real-world use cases! 🌐❗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Meet MMLU-Pro, released by TIGER-Lab on ", "raw": "Meet MMLU-Pro, released by TIGER-Lab on ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@huggingface", "href": null, "resource": null, "url": null, "code": null, "user": "huggingface", "label": null, "lang": null }, { "type": "text", "value": " ! 🐯🌍", "raw": " ! 🐯🌍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧪 12,217 questions across biology, business, chemistry, computer science, economics, engineering, health, history, law, mathematics, philosophy, physics, and psychology carefully validated by humans 🧑‍🔬", "raw": "🧪 12,217 questions across biology, business, chemistry, computer science, economics, engineering, health, history, law, mathematics, philosophy, physics, and psychology carefully validated by humans 🧑‍🔬", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔟 Goes to 10 options per question instead of 4, this increase in options will make the evaluation more realistic and reduce random guessing 🎯", "raw": "🔟 Goes to 10 options per question instead of 4, this increase in options will make the evaluation more realistic and reduce random guessing 🎯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📊 56% of questions come from MMLU, 34% from STEM websites, and the rest from TheoremQA and SciBench 📈", "raw": "📊 56% of questions come from MMLU, 34% from STEM websites, and the rest from TheoremQA and SciBench 📈", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤖 LLMs with weak chain-of-thought reasoning tend to perform lower, indicating it is more challenging and representative of real-world expectations 🧠💡", "raw": "🤖 LLMs with weak chain-of-thought reasoning tend to perform lower, indicating it is more challenging and representative of real-world expectations 🧠💡", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Any guess who tops it and who bombs it? 🤔📉📈", "raw": "Any guess who tops it and who bombs it? 🤔📉📈", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "GPT-4o drops by 17% (from 0.887 to 0.7149) 📉", "raw": "GPT-4o drops by 17% (from 0.887 to 0.7149) 📉", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Llama-3-70B drops by 27% (from 0.820 to 0.5541) 📉", "raw": "Llama-3-70B drops by 27% (from 0.820 to 0.5541) 📉", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 ", "raw": "🔗 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro", "href": null, "resource": { "type": "dataset", "id": "TIGER-Lab/MMLU-Pro", "discussionNum": null }, "url": "https://huggingface.co/datasets/TIGER-Lab/MMLU-Pro", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "avatarUrl": "https://cdn-avatars.huggingface.co/v1/production/uploads/1583857146757-5e67bdd61009063689407479.jpeg", "fullname": "Clem 🤗", "name": "clem", "type": "user", "isPro": true, "isHf": true, "isMod": false, "followerCount": 1763, "isFollowing": false }, { "avatarUrl": "/avatars/e4fa0d942a2e23bffb365601a34c4c9d.svg", "fullname": "Z", "name": "Zachyyypoo", "type": "user", "isPro": false, "isHf": false, "isMod": false, "followerCount": null, "isFollowing": false } ]

[ { "type": "text", "value": "I've been doing some evals and tuning, and this chat template repo maintained by ", "raw": "I've been doing some evals and tuning, and this chat template repo maintained by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@chujiezheng", "href": null, "resource": null, "url": null, "code": null, "user": "chujiezheng", "label": null, "lang": null }, { "type": "text", "value": " is great: ", "raw": " is great: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/chujiezheng/chat_templates", "href": "https://github.com/chujiezheng/chat_templates", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here's also a simple script for checking what the output looks like:", "raw": "Here's also a simple script for checking what the output looks like:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\nfrom transformers import AutoTokenizer\n\ntokenizer = AutoTokenizer.from_pretrained(\"augmxnt/shisa-7b-v1\")\nmessages = [\n {'role': 'user', 'content': 'This is the first user input.'},\n {'role': 'assistant', 'content': 'This is the first assistant response.'},\n {'role': 'user', 'content': 'This is the second user input.'},\n]\n\nprint()\nprint('Chat Template:')\nprint(tokenizer.chat_template)\nprint()\nprint('---')\nprint()\n\nprint(tokenizer.apply_chat_template(messages, tokenize=False))\n```", "href": null, "resource": null, "url": null, "code": "from transformers import AutoTokenizer\n\ntokenizer = AutoTokenizer.from_pretrained(\"augmxnt/shisa-7b-v1\")\nmessages = [\n {'role': 'user', 'content': 'This is the first user input.'},\n {'role': 'assistant', 'content': 'This is the first assistant response.'},\n {'role': 'user', 'content': 'This is the second user input.'},\n]\n\nprint()\nprint('Chat Template:')\nprint(tokenizer.chat_template)\nprint()\nprint('---')\nprint()\n\nprint(tokenizer.apply_chat_template(messages, tokenize=False))", "user": null, "label": null, "lang": null } ]

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[ { "reaction": "❤️", "users": [ "chujiezheng", "osanseviero", "not-lain" ], "count": 3 } ]

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[ { "type": "text", "value": "More context for your Pascal GPU or older!", "raw": "More context for your Pascal GPU or older!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Update: Now available in the official releases of KoboldCpp!", "raw": "Update: Now available in the official releases of KoboldCpp!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "[releases] ", "raw": "[releases] ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/LostRuins/koboldcpp/releases/latest", "href": "https://github.com/LostRuins/koboldcpp/releases/latest", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "These are great news for all the users with GTX 10XX, P40...", "raw": "These are great news for all the users with GTX 10XX, P40...", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Flash Attention implementation for older NVIDIA GPUs without requiring Tensor Cores has come to llama.cpp in the last few days, and should be merged in the next version of KoboldCpp, you can already try it with another fork or by building it.", "raw": "Flash Attention implementation for older NVIDIA GPUs without requiring Tensor Cores has come to llama.cpp in the last few days, and should be merged in the next version of KoboldCpp, you can already try it with another fork or by building it.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "[Mentioned KCPP fork] ", "raw": "[Mentioned KCPP fork] ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/Nexesenex/kobold.cpp/releases/latest", "href": "https://github.com/Nexesenex/kobold.cpp/releases/latest", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "[PR] ", "raw": "[PR] ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/ggerganov/llama.cpp/pull/7188", "href": "https://github.com/ggerganov/llama.cpp/pull/7188", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You should expect less VRAM usage for the same context, allowing you to experience higher contexts with your current GPU.", "raw": "You should expect less VRAM usage for the same context, allowing you to experience higher contexts with your current GPU.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "There have also been reported final tokens/second speed improvements for inference, so that's also grand!", "raw": "There have also been reported final tokens/second speed improvements for inference, so that's also grand!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "If you have tried it, I'd like to hear your experiences with --flashattention so far, especially for this implementation and for the large number of Pascal (GTX 10XX, P40...) cards.", "raw": "If you have tried it, I'd like to hear your experiences with --flashattention so far, especially for this implementation and for the large number of Pascal (GTX 10XX, P40...) cards.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Discussion linked bellow, with more links to relevant information:", "raw": "Discussion linked bellow, with more links to relevant information:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/LWDCLS/LLM-Discussions/discussions/11", "href": "https://huggingface.co/LWDCLS/LLM-Discussions/discussions/11", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Cheers!", "raw": "Cheers!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Just bought PRO but I don't understands how to use any image generation models in spaces beacause I don't know how to decode or process images after generation. Help!", "raw": "Just bought PRO but I don't understands how to use any image generation models in spaces beacause I don't know how to decode or process images after generation. Help!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Access to computational resources is key for democratizing AI, in all domains. ", "raw": "Access to computational resources is key for democratizing AI, in all domains. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We cooked up something we're proud of: Hugging Face is committing $10 million in free GPUs to help developers create new AI technologies.", "raw": "We cooked up something we're proud of: Hugging Face is committing $10 million in free GPUs to help developers create new AI technologies.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "“AI should not be held in the hands of the few. With this commitment to open-source developers, we’re excited to see what everyone will cook up next in the spirit of collaboration and transparency.” — ", "raw": "“AI should not be held in the hands of the few. With this commitment to open-source developers, we’re excited to see what everyone will cook up next in the spirit of collaboration and transparency.” — ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@clem", "href": null, "resource": null, "url": null, "code": null, "user": "clem", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Read the exclusive by Kylie Robison: ", "raw": "Read the exclusive by Kylie Robison: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.theverge.com/2024/5/16/24156755/hugging-face-celement-delangue-free-shared-gpus-ai", "href": "https://www.theverge.com/2024/5/16/24156755/hugging-face-celement-delangue-free-shared-gpus-ai", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Thank you ", "raw": "Thank you ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Niansuh", "href": null, "resource": null, "url": null, "code": null, "user": "Niansuh", "label": null, "lang": null }, { "type": "text", "value": " for starting a space and sharing your AI assistant application in Narra AI!", "raw": " for starting a space and sharing your AI assistant application in Narra AI!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/narra-ai/ChatGPT", "href": null, "resource": { "type": "space", "id": "narra-ai/ChatGPT", "discussionNum": null }, "url": "https://huggingface.co/spaces/narra-ai/ChatGPT", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Baal, our Bayesian Active Learning library is working on a major version and we want to know more about you! ", "raw": "Baal, our Bayesian Active Learning library is working on a major version and we want to know more about you! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "If you use Baal for Active Learning, Uncertainty Estimation or Bayesian Deep Learning, we would **love** to talk to you! 😎 ", "raw": "If you use Baal for Active Learning, Uncertainty Estimation or Bayesian Deep Learning, we would **love** to talk to you! 😎 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In more detail, we want to understand when our users use our library and how.", "raw": "In more detail, we want to understand when our users use our library and how.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can take a spot in our Calendly: ", "raw": "You can take a spot in our Calendly: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://calendly.com/baal-org/30min?month=2024-05", "href": "https://calendly.com/baal-org/30min?month=2024-05", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "GPT-4o is \"Clearly Programmed to Feed Dudes' Egos\" - Desi Lydic on the Daily Show. ", "raw": "GPT-4o is \"Clearly Programmed to Feed Dudes' Egos\" - Desi Lydic on the Daily Show. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=eFkUOi_9140&t=301s", "href": "https://www.youtube.com/watch?v=eFkUOi_9140&t=301s", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've just published the first part of a series on open problems in decentralized AI infrastructure .", "raw": "I've just published the first part of a series on open problems in decentralized AI infrastructure .", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This one focuses on verifiable computations, would love some feedback from the HF community! ", "raw": "This one focuses on verifiable computations, would love some feedback from the HF community! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://link.medium.com/5YYUnNpcEJb", "href": "https://link.medium.com/5YYUnNpcEJb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "The Document AI team (", "raw": "The Document AI team (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Molbap", "href": null, "resource": null, "url": null, "code": null, "user": "Molbap", "label": null, "lang": null }, { "type": "text", "value": ", ", "raw": ", ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@rwightman", "href": null, "resource": null, "url": null, "code": null, "user": "rwightman", "label": null, "lang": null }, { "type": "text", "value": ", ", "raw": ", ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@danaaubakirova", "href": null, "resource": null, "url": null, "code": null, "user": "danaaubakirova", "label": null, "lang": null }, { "type": "text", "value": ") at Hugging Face is developing a new multimodal data augmentation pipeline utilising both visual and textual aspects of document images.", "raw": ") at Hugging Face is developing a new multimodal data augmentation pipeline utilising both visual and textual aspects of document images.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check out my latest blog post for more details: ", "raw": "Check out my latest blog post for more details: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/danaaubakirova/doc-augmentation", "href": "https://huggingface.co/blog/danaaubakirova/doc-augmentation", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Please, share your thoughts and suggestions with us.", "raw": "Please, share your thoughts and suggestions with us.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "And stay tuned for the updates!", "raw": "And stay tuned for the updates!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Do you want to play a game against Llama 3? 🦙🦙🦙", "raw": "Do you want to play a game against Llama 3? 🦙🦙🦙", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Meet 🧑‍🏫 𝐀𝐮𝐭𝐨𝐐𝐮𝐢𝐳𝐳𝐞𝐫, a new LLM application that you can use for learning or just for fun.", "raw": "Meet 🧑‍🏫 𝐀𝐮𝐭𝐨𝐐𝐮𝐢𝐳𝐳𝐞𝐫, a new LLM application that you can use for learning or just for fun.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try it out on Hugging Face Spaces 🤗 ", "raw": "Try it out on Hugging Face Spaces 🤗 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/deepset/autoquizzer", "href": null, "resource": { "type": "space", "id": "deepset/autoquizzer", "discussionNum": null }, "url": "https://huggingface.co/spaces/deepset/autoquizzer", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬", "raw": "𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You provide an URL -> A multiple-choice quiz is instantly generated.", "raw": "You provide an URL -> A multiple-choice quiz is instantly generated.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 You can play the quiz yourself.", "raw": "🔹 You can play the quiz yourself.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 You can let the LLM play in two different ways", "raw": "🔹 You can let the LLM play in two different ways", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📕 Closed book: the LLM responds only by knowing the general topic and using its parametric knowledge and reasoning abilities.", "raw": "📕 Closed book: the LLM responds only by knowing the general topic and using its parametric knowledge and reasoning abilities.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔎🌐 Web RAG: for each question, a Google search is done and the top 3 snippets are included in the prompt for the LLM.", "raw": "🔎🌐 Web RAG: for each question, a Google search is done and the top 3 snippets are included in the prompt for the LLM.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝐒𝐭𝐚𝐜𝐤", "raw": "𝐒𝐭𝐚𝐜𝐤", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏗️ Haystack LLM framework ", "raw": "🏗️ Haystack LLM framework ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://haystack.deepset.ai/", "href": "https://haystack.deepset.ai/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦙 Llama 3 8B Instruct", "raw": "🦙 Llama 3 8B Instruct", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚡ Groq", "raw": "⚡ Groq", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Original idea: ", "raw": "Original idea: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": 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[ { "type": "text", "value": "At Google I/O 2024, we're collaborating with the Google Visual Blocks team (", "raw": "At Google I/O 2024, we're collaborating with the Google Visual Blocks team (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://visualblocks.withgoogle.com", "href": "https://visualblocks.withgoogle.com", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") to release custom Hugging Face nodes. Visual Blocks for ML is a browser-based tool that allows users to create machine learning pipelines using a visual interface. We're launching nodes with Transformers.js, running models on the browser, as well as server-side nodes running Transformers pipeline tasks and LLMs using our hosted inference. With ", "raw": ") to release custom Hugging Face nodes. Visual Blocks for ML is a browser-based tool that allows users to create machine learning pipelines using a visual interface. We're launching nodes with Transformers.js, running models on the browser, as well as server-side nodes running Transformers pipeline tasks and LLMs using our hosted inference. With ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Xenova", "href": null, "resource": null, "url": null, "code": null, "user": "Xenova", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@JasonMayes", "href": null, "resource": null, "url": null, "code": null, "user": "JasonMayes", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can learn more about it here ", "raw": "You can learn more about it here ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/radames/hugging-face-google-visual-blocks", "href": "https://huggingface.co/blog/radames/hugging-face-google-visual-blocks", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Source-code for the custom nodes:", "raw": "Source-code for the custom nodes:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/visual-blocks-custom-components", "href": "https://github.com/huggingface/visual-blocks-custom-components", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "text-generation-inference v2.0.3 is out.", "raw": "text-generation-inference v2.0.3 is out.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Main new features:", "raw": "Main new features:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Falcon2 support", "raw": "- Falcon2 support", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- PaliGemma support", "raw": "- PaliGemma support", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- New faster speculation method from IBM ! ", "raw": "- New faster speculation method from IBM ! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/text-generation-inference/releases", "href": "https://github.com/huggingface/text-generation-inference/releases", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "So many of you have asked how to do segmentation and detection with PaliGemma, you've been served! 🫡", "raw": "So many of you have asked how to do segmentation and detection with PaliGemma, you've been served! 🫡", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here's the notebook to do so: ", "raw": "Here's the notebook to do so: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://colab.research.google.com/drive/16-Tq-iAMHNlSjDWgz43kYDMJERjU_KHW?usp=sharing", "href": "https://colab.research.google.com/drive/16-Tq-iAMHNlSjDWgz43kYDMJERjU_KHW?usp=sharing", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " 🤗", "raw": " 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hello world! My first post on Hugging Face 🤗 :)", "raw": "Hello world! My first post on Hugging Face 🤗 :)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "inline_code", "value": null, "raw": "`timm`", "href": null, "resource": null, "url": null, "code": "timm", "user": null, "label": null, "lang": null }, { "type": "text", "value": " 1.0 is finally out. The big feature that I wanted to complete before doing this? Having the unified feature map extraciton interface (features_only=True) supporting almost all models (97%) 🎉 See docs at ", "raw": " 1.0 is finally out. The big feature that I wanted to complete before doing this? Having the unified feature map extraciton interface (features_only=True) supporting almost all models (97%) 🎉 See docs at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/docs/timm/en/feature_extraction", "href": "https://huggingface.co/docs/timm/en/feature_extraction", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Also in this release, the new set of SBB (searching for better baselins) ViT models, covering new architectures and hparam exploration between tiny and base. See ", "raw": "Also in this release, the new set of SBB (searching for better baselins) ViT models, covering new architectures and hparam exploration between tiny and base. See ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/timm/searching-for-better-vit-baselines-663eb74f64f847d2f35a9c19", "href": null, "resource": { "type": "collection", "id": "timm/searching-for-better-vit-baselines-663eb74f64f847d2f35a9c19", "discussionNum": null }, "url": "https://huggingface.co/collections/timm/searching-for-better-vit-baselines-663eb74f64f847d2f35a9c19", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I also snuck in image-tower loading for PaliGemma (via jax weights on Hub) ", "raw": "I also snuck in image-tower loading for PaliGemma (via jax weights on Hub) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda", "href": null, "resource": { "type": "collection", "id": "google/paligemma-release-6643a9ffbf57de2ae0448dda", "discussionNum": null }, "url": "https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Another excellent course has launched on Hugging Face Learn ", "raw": "Another excellent course has launched on Hugging Face Learn ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/learn", "href": "https://huggingface.co/learn", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗", "raw": "HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check it out @ ", "raw": "Check it out @ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/learn/ml-for-3d-course/unit0/introduction", "href": "https://huggingface.co/learn/ml-for-3d-course/unit0/introduction", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "YT Channel: ", "raw": "YT Channel: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/@IndividualKex", "href": "https://www.youtube.com/@IndividualKex", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "GitHub: ", "raw": "GitHub: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/huggingface/ml-for-3d-course", "href": "https://github.com/huggingface/ml-for-3d-course", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "it's raining vision language models ☔️ ", "raw": "it's raining vision language models ☔️ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "CuMo is a new vision language model that has MoE in every step of the VLM (image encoder, MLP and text decoder) and uses Mistral-7B for the decoder part 🤓", "raw": "CuMo is a new vision language model that has MoE in every step of the VLM (image encoder, MLP and text decoder) and uses Mistral-7B for the decoder part 🤓", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can try it yourself here: ", "raw": "You can try it yourself here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/shi-labs/CuMo-7b-zero", "href": null, "resource": { "type": "space", "id": "shi-labs/CuMo-7b-zero", "discussionNum": null }, "url": "https://huggingface.co/spaces/shi-labs/CuMo-7b-zero", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "the authors firstly did pre-training of MLP with the by freezing the image encoder and text decoder, then they warmup the whole network by unfreezing and finetuning which they state to stabilize the visual instruction tuning when bringing in the experts. 🤓", "raw": "the authors firstly did pre-training of MLP with the by freezing the image encoder and text decoder, then they warmup the whole network by unfreezing and finetuning which they state to stabilize the visual instruction tuning when bringing in the experts. 🤓", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "the mixture of experts MLP blocks above are simply the same MLP blocks initialized from the single MLP that was trained during pre-training and fine-tuned in pre-finetuning.", "raw": "the mixture of experts MLP blocks above are simply the same MLP blocks initialized from the single MLP that was trained during pre-training and fine-tuned in pre-finetuning.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "it works very well (also tested myself) that it outperforms the previous sota of it's size LLaVA NeXt and IDEFICS2-8B in several benchmarks! 😍 ", "raw": "it works very well (also tested myself) that it outperforms the previous sota of it's size LLaVA NeXt and IDEFICS2-8B in several benchmarks! 😍 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Something is wrong with GPT-4o", "raw": "Something is wrong with GPT-4o", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Today, I gained access to GPT-4o, so I thought to test it. However, I encountered several problems, such as When I requested image generation, it did not create any images but only provided links, which are also incorrect. 😥 [Image 1]", "raw": "Today, I gained access to GPT-4o, so I thought to test it. However, I encountered several problems, such as When I requested image generation, it did not create any images but only provided links, which are also incorrect. 😥 [Image 1]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Subsequently, I considered that my prompt might be incorrect, I attempted once more with a prompt from OpenAI's examples, but it also did not work. 😥 [Image 2]", "raw": "Subsequently, I considered that my prompt might be incorrect, I attempted once more with a prompt from OpenAI's examples, but it also did not work. 😥 [Image 2]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Then, I tested its logical reasoning skills, which it failed. I presented a question that an 8b model solved with ease, but GPT-4o could not. 😥 [Image 3]", "raw": "Then, I tested its logical reasoning skills, which it failed. I presented a question that an 8b model solved with ease, but GPT-4o could not. 😥 [Image 3]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I also attempted to generate an image from another image, but this too was unsuccessful. [image 4]", "raw": "I also attempted to generate an image from another image, but this too was unsuccessful. [image 4]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Nonetheless, it excels in tasks such as image classification and voice chat.", "raw": "Nonetheless, it excels in tasks such as image classification and voice chat.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "If you've experienced similar issues, please share them here.", "raw": "If you've experienced similar issues, please share them here.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "ChatGPT 3.5 + 4 + BingAI", "raw": "ChatGPT 3.5 + 4 + BingAI", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Use Now: ", "raw": "Use Now: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://niansuhai-llms.hf.space", "href": "https://niansuhai-llms.hf.space", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/NiansuhAI/LLMs", "href": null, "resource": { "type": "space", "id": "NiansuhAI/LLMs", "discussionNum": null }, "url": "https://huggingface.co/spaces/NiansuhAI/LLMs", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📣 Happy to introduce, CinePile, a long video QA dataset and benchmark! 300k train and 5k test split. The dataset is live on HF right now! :) ", "raw": "📣 Happy to introduce, CinePile, a long video QA dataset and benchmark! 300k train and 5k test split. The dataset is live on HF right now! :) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Link: ", "raw": "Link: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/tomg-group-umd/cinepile", "href": null, "resource": { "type": "dataset", "id": "tomg-group-umd/cinepile", "discussionNum": null }, "url": "https://huggingface.co/datasets/tomg-group-umd/cinepile", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Pls check it out and let us know if you have any comments or suggestions! :) ", "raw": "Pls check it out and let us know if you have any comments or suggestions! :) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Which one is your favourite? Tell me in the comments", "raw": "Which one is your favourite? Tell me in the comments", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "*Created using suno.ai and Microsoft co-pilot. all rights and reserves are mine, if you want to use it ask for my permission first*", "raw": "*Created using suno.ai and Microsoft co-pilot. all rights and reserves are mine, if you want to use it ask for my permission first*", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

[ { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/6617efcf0ca79090cd6b21e3/xs8zi39DJY__ScZ-QGVxu.mp4" }, { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/6617efcf0ca79090cd6b21e3/6nH-EQbohl6xbAKjS4n4q.mp4" }, { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/6617efcf0ca79090cd6b21e3/tpq2oeMPgMYi3q-ZoifWg.mp4" }, { "type": "video", "url": "https://cdn-uploads.huggingface.co/production/uploads/6617efcf0ca79090cd6b21e3/pPb6zDzd9XcQZcQP-rXVQ.mp4" } ]

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[ { "type": "text", "value": "After saying AI only 120 times, we have the next family of Gemma models!", "raw": "After saying AI only 120 times, we have the next family of Gemma models!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🆓Gemma Model Family:", "raw": "🆓Gemma Model Family:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦙 Gemma 2: 27B parameter model, comparable to Llama-3-70B.", "raw": "🦙 Gemma 2: 27B parameter model, comparable to Llama-3-70B.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👁️ PaliGemma: PaliGemma is a new vision-language model family from Google, combining SigLIP as an image encoder and Gemma-2B as a text decoder. 🌟🖼️📝", "raw": "👁️ PaliGemma: PaliGemma is a new vision-language model family from Google, combining SigLIP as an image encoder and Gemma-2B as a text decoder. 🌟🖼️📝", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📽️Moren technical Details of PaliGemma:", "raw": "📽️Moren technical Details of PaliGemma:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Model Types: Pretrained (PT) 🏋️‍♂️, Mix (general-purpose) 🔄, and Fine-tuned (FT) 🎯.", "raw": "👉Model Types: Pretrained (PT) 🏋️‍♂️, Mix (general-purpose) 🔄, and Fine-tuned (FT) 🎯.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Resolutions and Precisions: 224x224, 448x448, 896x896; bfloat16, float16, float32. 📏📐", "raw": "👉Resolutions and Precisions: 224x224, 448x448, 896x896; bfloat16, float16, float32. 📏📐", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Tasks: Image captioning 🏞️🖊️, visual question answering (VQA) ❓🤔, detection 🔍, referring expression segmentation ✂️, document understanding 📄.", "raw": "👉Tasks: Image captioning 🏞️🖊️, visual question answering (VQA) ❓🤔, detection 🔍, referring expression segmentation ✂️, document understanding 📄.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Architecture: SigLIP-So400m for images 🖼️, Gemma-2B for text 📝.", "raw": "👉Architecture: SigLIP-So400m for images 🖼️, Gemma-2B for text 📝.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Inference: Via PaliGemmaForConditionalGeneration class in transformers 🤖.", "raw": "👉Inference: Via PaliGemmaForConditionalGeneration class in transformers 🤖.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Fine-tuning: Available using both big_vision and transformers frameworks 🔧🛠️.", "raw": "👉Fine-tuning: Available using both big_vision and transformers frameworks 🔧🛠️.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉Memory Considerations: Higher resolution models require more memory 🧠💾.", "raw": "👉Memory Considerations: Higher resolution models require more memory 🧠💾.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✨ Other things ✨ (Why is everyone using ✨ for AI? 🤨)", "raw": "✨ Other things ✨ (Why is everyone using ✨ for AI? 🤨)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🆒 Gemini Model Family:", "raw": "🆒 Gemini Model Family:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌟 Gemini 1.5 Pro: 2m token support, quality improvements in translation, coding, reasoning.", "raw": "🌟 Gemini 1.5 Pro: 2m token support, quality improvements in translation, coding, reasoning.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚡ Gemini Flash: Optimized for speed, 1m token capacity.", "raw": "⚡ Gemini Flash: Optimized for speed, 1m token capacity.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 Gemini Ultra, Pro, Flash, Nano: Various performance and efficiency models.", "raw": "🚀 Gemini Ultra, Pro, Flash, Nano: Various performance and efficiency models.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💎 Gemini Gems: Custom GPTs.", "raw": "💎 Gemini Gems: Custom GPTs.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎙️ Gemini Live (Project Astra): Two-way voice conversation.", "raw": "🎙️ Gemini Live (Project Astra): Two-way voice conversation.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📚 LearnLM: Models fine-tuned for learning.", "raw": "📚 LearnLM: Models fine-tuned for learning.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🆕Other Launches:", "raw": "🆕Other Launches:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤖 Veo: DeepMind's answer to Sora.", "raw": "🤖 Veo: DeepMind's answer to Sora.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🖼️ Imagen 3: Improved photorealistic image generation.", "raw": "🖼️ Imagen 3: Improved photorealistic image generation.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎵 Music AI Sandbox: YouTube x DeepMind collaboration.", "raw": "🎵 Music AI Sandbox: YouTube x DeepMind collaboration.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔏 SynthID watermarking: Extends to text, images, audio, video.", "raw": "🔏 SynthID watermarking: Extends to text, images, audio, video.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚙️ Trillium (TPUv6): New TPU.", "raw": "⚙️ Trillium (TPUv6): New TPU.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💲@Google Product Suite Integrations: Enhancements in Workspace, Email, Docs, Sheets, Photos, Search, Android, and Lens.", "raw": "💲@Google Product Suite Integrations: Enhancements in Workspace, Email, Docs, Sheets, Photos, Search, Android, and Lens.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/google/gemma-release-65d5efbccdbb8c4202ec078b", "href": null, "resource": { "type": "collection", "id": "google/gemma-release-65d5efbccdbb8c4202ec078b", "discussionNum": null }, "url": "https://huggingface.co/collections/google/gemma-release-65d5efbccdbb8c4202ec078b", "code": null, "user": null, "label": null, "lang": null }, 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[ { "type": "link", "value": null, "raw": "https://huggingface.co/unsloth", "href": "https://huggingface.co/unsloth", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " just crossed 1M+ downloads! 🤯", "raw": " just crossed 1M+ downloads! 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Some of the most popular 👀 :", "raw": "Some of the most popular 👀 :", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/unsloth/llama-3-8b-bnb-4bit", "href": null, "resource": { "type": "model", "id": "unsloth/llama-3-8b-bnb-4bit", "discussionNum": null }, "url": "https://huggingface.co/unsloth/llama-3-8b-bnb-4bit", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit", "href": null, "resource": { "type": "model", "id": "unsloth/llama-3-8b-Instruct-bnb-4bit", "discussionNum": null }, "url": "https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit", "href": null, "resource": { "type": "model", "id": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit", "discussionNum": null }, "url": "https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Yesterday was just CRAZY ! HF x LangChain, PaliGemma and Google I/O ... which made me totally forget posting here about our newly released leaderboard (The Open Arabic LLM Leaderboard - OALL) ", "raw": "Yesterday was just CRAZY ! HF x LangChain, PaliGemma and Google I/O ... which made me totally forget posting here about our newly released leaderboard (The Open Arabic LLM Leaderboard - OALL) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here's a quick update for our community that is waiting for new results. Some of you noticed that since the release yesterday, the finished evaluations tab has stayed at 14 models up until now (May 15th, 12 PM). For those concerned, rest assured—we had a minor memory issue in our cluster yesterday that we overlooked. The problem is now fixed, and 7 models are currently being evaluated in parallel, so expect to hit the 20 milestone today! 🎉", "raw": "Here's a quick update for our community that is waiting for new results. Some of you noticed that since the release yesterday, the finished evaluations tab has stayed at 14 models up until now (May 15th, 12 PM). For those concerned, rest assured—we had a minor memory issue in our cluster yesterday that we overlooked. The problem is now fixed, and 7 models are currently being evaluated in parallel, so expect to hit the 20 milestone today! 🎉", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check the discussion below for more info :", "raw": "Check the discussion below for more info :", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard/discussions/3", "href": null, "resource": { "type": "space", "id": "OALL/Open-Arabic-LLM-Leaderboard", "discussionNum": 3 }, "url": "https://huggingface.co/spaces/OALL/Open-Arabic-LLM-Leaderboard/discussions/3", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Best Debug Prompt ", "raw": "Best Debug Prompt ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "raw": "You are a frustrated user who has tested this application extensively. Your job is to list EVERY possible way this app could completely break or become unusable.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For each potential failure:", "raw": "For each potential failure:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. What would make you say \"This app is totally broken!\"?", "raw": "1. What would make you say \"This app is totally broken!\"?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. What exact steps did you take when it broke?", "raw": "2. What exact steps did you take when it broke?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. What did you see on your screen when it broke?", "raw": "3. What did you see on your screen when it broke?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "4. How angry would this make a typical user (1-10)?", "raw": "4. How angry would this make a typical user (1-10)?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "5. What would you expect the app to do instead?", "raw": "5. What would you expect the app to do instead?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Think about:", "raw": "Think about:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What happens if you click buttons really fast?", "raw": "- What happens if you click buttons really fast?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if your internet is slow/disconnected?", "raw": "- What if your internet is slow/disconnected?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you upload weird files/images?", "raw": "- What if you upload weird files/images?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you try to break the app on purpose?", "raw": "- What if you try to break the app on purpose?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if multiple people use it at once?", "raw": "- What if multiple people use it at once?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you use it on mobile/tablet?", "raw": "- What if you use it on mobile/tablet?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you refresh/navigate while it's working?", "raw": "- What if you refresh/navigate while it's working?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you paste invalid inputs?", "raw": "- What if you paste invalid inputs?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you upload HUGE files?", "raw": "- What if you upload HUGE files?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- What if you leave it running overnight?", "raw": "- What if you leave it running overnight?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Don't worry about being technical - just describe what you saw break as a user.", "raw": "Don't worry about being technical - just describe what you saw break as a user.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Format each issue like:", "raw": "Format each issue like:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "ISSUE #1: [Brief angry user description]", "raw": "ISSUE #1: [Brief angry user description]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- STEPS TO BREAK IT: [Exactly what you did]", "raw": "- STEPS TO BREAK IT: [Exactly what you did]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- WHAT HAPPENED: [What you saw]", "raw": "- WHAT HAPPENED: [What you saw]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- ANGER LEVEL: [1-10]", "raw": "- ANGER LEVEL: [1-10]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- EXPECTED: [What should happen]", "raw": "- EXPECTED: [What should happen]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Keep going until you've found every possible way to break this app from a user's perspective!", "raw": "Keep going until you've found every possible way to break this app from a user's perspective!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "raw": "After outpuiting the list, accoring to the list optmiced Composer edit block to fix the ones severe that make sense to adjust accoirng to gradio limitations and current usage target )dont suppose we need unecessary funcitons)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "raw": "I just released Sentence Transformers v3.3.0 & it's huge! 4.5x speedup for CPU with OpenVINO int8 static quantization, training with prompts for a free perf. boost, PEFT integration, evaluation on NanoBEIR, and more! Details:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "raw": "1. We integrate Post-Training Static Quantization using OpenVINO, a very efficient solution for CPUs that processes 4.78x as many texts per second on average, while only hurting performance by 0.36% on average. There's a new ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`export_static_quantized_openvino_model`", "href": null, "resource": null, "url": null, "code": "export_static_quantized_openvino_model", "user": null, "label": null, "lang": null }, { "type": "text", "value": " method to quantize a model.", "raw": " method to quantize a model.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "raw": "2. We add the option to train with prompts, e.g. strings like \"query: \", \"search_document: \" or \"Represent this sentence for searching relevant passages: \". It's as simple as using the ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`prompts`", "href": null, "resource": null, "url": null, "code": "prompts", "user": null, "label": null, "lang": null }, { "type": "text", "value": " argument in ", "raw": " argument in ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`SentenceTransformerTrainingArguments`", "href": null, "resource": null, "url": null, "code": "SentenceTransformerTrainingArguments", "user": null, "label": null, "lang": null }, { "type": "text", "value": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "raw": ". Our experiments show that you can easily reach 0.66% to 0.90% relative performance improvement on NDCG@10 at no extra cost by adding \"query: \" before each training query and \"document: \" before each training answer.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "raw": "3. Sentence Transformers now supports training PEFT adapters via 7 new methods for adding new adapters or loading pre-trained ones. You can also directly load a trained adapter with SentenceTransformer as if it's a normal model. Very useful for e.g. 1) training multiple adapters on 1 base model, 2) training bigger models than otherwise possible, or 3) cheaply hosting multiple models by switching multiple adapters on 1 base model.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "raw": "4. We added easy evaluation on NanoBEIR, a subset of BEIR a.k.a. the MTEB Retrieval benchmark. It contains 13 datasets with 50 queries and up to 10k documents each. Evaluation is fast, and can easily be done during training to track your model's performance on general-purpose information retrieval tasks.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "raw": "Additionally, we also deprecate Python 3.8, add better compatibility with Transformers v4.46.0, and more. Read the full release notes here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "href": "https://github.com/UKPLab/sentence-transformers/releases/tag/v3.3.0", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "raw": "Hi everyone, i have been trying to give my chatbots access to the web for a long while now, i have tried using the google search api, taking the links and then scraping them, but it does'nt work that well. does anyone know how you can give a chatbot access to google/the web, so that it has access to current data.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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**Horizontal Position**: ", "raw": " - **Horizontal Position**: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`(i % grid_size_x) * width`", "href": null, "resource": null, "url": null, "code": "(i % grid_size_x) * width", "user": null, "label": null, "lang": null }, { "type": "text", "value": " calculates the x-coordinate.", "raw": " calculates the x-coordinate.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **Vertical Position**: ", "raw": " - **Vertical Position**: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`(i // grid_size_x) * height`", "href": null, "resource": null, "url": null, "code": "(i // grid_size_x) * height", "user": null, "label": null, "lang": null }, { "type": "text", "value": " calculates the y-coordinate.", "raw": " calculates the y-coordinate.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. **Grid Size Selection**: The user selects the grid size from options like \"2x1\", \"1x2\", \"2x2\", \"2x3\", \"3x2\", and \"1x1\". Each option corresponds to the arrangement of images:", "raw": "1. **Grid Size Selection**: The user selects the grid size from options like \"2x1\", \"1x2\", \"2x2\", \"2x3\", \"3x2\", and \"1x1\". Each option corresponds to the arrangement of images:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **2x1**: 2 images in a single row", "raw": " - **2x1**: 2 images in a single row", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **1x2**: 1 image in two rows (column layout)", "raw": " - **1x2**: 1 image in two rows (column layout)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **2x2**: 2 rows with 2 images each", "raw": " - **2x2**: 2 rows with 2 images each", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **2x3**: 2 rows with 3 images each", "raw": " - **2x3**: 2 rows with 3 images each", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **3x2**: 3 rows with 2 images each", "raw": " - **3x2**: 3 rows with 2 images each", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - **1x1**: A single image (default)", "raw": " - **1x1**: A single image (default)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. **Image Generation**: Based on the grid size selection, the app calculates the number of images to generate. For example:", "raw": "2. **Image Generation**: Based on the grid size selection, the app calculates the number of images to generate. For example:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - If the grid size is \"2x2\", the app generates 4 images.", "raw": " - If the grid size is \"2x2\", the app generates 4 images.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " - For \"3x2\", it generates 6 images.", "raw": " - For \"3x2\", it generates 6 images.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, 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Seamless Image Assembly : ", "raw": "-> Added both of these spaces that support the GRID functionality Layout for Seamless Image Assembly : ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "----------", "raw": "----------", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔥IMAGINEO-4K: ", "raw": "🔥IMAGINEO-4K: ", "href": null, "resource": null, "url": null, "code": 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[ { "type": "text", "value": "#EMNLP2024 is happening soon! Unfortunately, I will not be on site, but I will present our poster virtually on Wednesday, Nov 13 (7:45 EST / 13:45 CEST) in Virtual Poster Session 2.", "raw": "#EMNLP2024 is happening soon! Unfortunately, I will not be on site, but I will present our poster virtually on Wednesday, Nov 13 (7:45 EST / 13:45 CEST) in Virtual Poster Session 2.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In this work, we leverage self-training in an active learning loop in order to train small language models with even less data. Hope to see you there!", "raw": "In this work, we leverage self-training in an active learning loop in order to train small language models with even less data. Hope to see you there!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]

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[ { "type": "text", "value": "Hello everyone!!! I am new to this and a little out of my depth (aLOT out of my depth!! LOL!) I am looking through the site and wanted to ask if there were any quailty primers i should read? or a good basic getting started post?", "raw": "Hello everyone!!! I am new to this and a little out of my depth (aLOT out of my depth!! LOL!) I am looking through the site and wanted to ask if there were any quailty primers i should read? or a good basic getting started post?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks in advance!!", "raw": "Thanks in advance!!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "reaction": "👀", "users": [ "John6666" ], "count": 1 } ]

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[ { "type": "text", "value": "Pleased to announce Cat1.0, the newest iteration of my roleplay fine-tunes! ", "raw": "Pleased to announce Cat1.0, the newest iteration of my roleplay fine-tunes! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/rwitz/cat1.0", "href": null, "resource": { "type": "model", "id": "rwitz/cat1.0", "discussionNum": null }, "url": "https://huggingface.co/rwitz/cat1.0", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The model is fine-tuned from Llama-3.1 8B on VERY high quality roleplay chat logs, each stretching for thousands of tokens. Also excels at logic, especially in conversational reasoning! Feel free to give it a test!", "raw": "The model is fine-tuned from Llama-3.1 8B on VERY high quality roleplay chat logs, each stretching for thousands of tokens. Also excels at logic, especially in conversational reasoning! Feel free to give it a test!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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You have to watch this to learn how to use SwarmUI", "raw": "How to install and use. You have to watch this to learn how to use SwarmUI", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Has 70 chapters and manually fixed captions : ", "raw": "Has 70 chapters and manually fixed captions : ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://youtu.be/HKX8_F1Er_w", "href": "https://youtu.be/HKX8_F1Er_w", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📢 Have you ever been wondered how specifically Transformers were capable for handling long input contexts? ", "raw": "📢 Have you ever been wondered how specifically Transformers were capable for handling long input contexts? ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I got a chance to tackle this through long document texts summarization problem, and delighted to share the related survey and diagram for a quick skimming below:", "raw": "I got a chance to tackle this through long document texts summarization problem, and delighted to share the related survey and diagram for a quick skimming below:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Preprint 📝 ", "raw": "Preprint 📝 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://nicolay-r.github.io/website/data/preprint-AINL_2023_longt5_summarization.pdf", "href": "https://nicolay-r.github.io/website/data/preprint-AINL_2023_longt5_summarization.pdf", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Springer 📝 ", "raw": "Springer 📝 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://link.springer.com/article/10.1007/s10958-024-07435-z", "href": "https://link.springer.com/article/10.1007/s10958-024-07435-z", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎯 The aim of the survey was the development of the long-document summarizer for mass-media news in Vietnamese language. 🇻🇳 ", "raw": "🎯 The aim of the survey was the development of the long-document summarizer for mass-media news in Vietnamese language. 🇻🇳 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Sharing for a quick skimming of the methods performance overview of various LM-based solution across several datasets, covering domain-oriented advances in Vietnamese language (see attached screenshots)", "raw": "Sharing for a quick skimming of the methods performance overview of various LM-based solution across several datasets, covering domain-oriented advances in Vietnamese language (see attached screenshots)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "As for solution we consider:", "raw": "As for solution we consider:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 1. Adapt existed ", "raw": "☑️ 1. Adapt existed ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/google/pegasus-cnn_dailymail", "href": null, "resource": { "type": "model", "id": "google/pegasus-cnn_dailymail", "discussionNum": null }, "url": "https://huggingface.co/google/pegasus-cnn_dailymail", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " for summarizing large dataset for arranging training", "raw": " for summarizing large dataset for arranging training", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 2. Tuning ", "raw": "☑️ 2. Tuning ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/google/long-t5-tglobal-large", "href": null, "resource": { "type": "model", "id": "google/long-t5-tglobal-large", "discussionNum": null }, "url": "https://huggingface.co/google/long-t5-tglobal-large", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " suitable for performing generative summarization.", "raw": " suitable for performing generative summarization.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Implementation details:", "raw": "Implementation details:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌟 ", "raw": "🌟 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/nicolay-r/ViLongT5", "href": "https://github.com/nicolay-r/ViLongT5", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "(Simplier to go with huggingface rather flaxformer that so far become a legacy engine)", "raw": "(Simplier to go with huggingface rather flaxformer that so far become a legacy engine)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "After the announcements yesterday, I got a chance to try the new gemini-1.5-flash model from ", "raw": "After the announcements yesterday, I got a chance to try the new gemini-1.5-flash model from ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@goog1e", "href": null, "resource": null, "url": null, "code": null, "user": "goog1e", "label": null, "lang": null }, { "type": "text", "value": ", it is almost as good as gpt-4o on the StaticAnalaysisEval (", "raw": ", it is almost as good as gpt-4o on the StaticAnalaysisEval (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/patched-codes/static-analysis-eval", "href": null, "resource": { "type": "dataset", "id": "patched-codes/static-analysis-eval", "discussionNum": null }, "url": "https://huggingface.co/datasets/patched-codes/static-analysis-eval", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") It is also a bit faster than gpt-4o and much cheaper. ", "raw": ") It is also a bit faster than gpt-4o and much cheaper. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I did run into a recitation flag with an example in the dataset where the api refused to fix the vulnerability and flagged the input as using copyrighted content. This is something you cannot unset even with the safety filters and seems to be an existing bug ", "raw": "I did run into a recitation flag with an example in the dataset where the api refused to fix the vulnerability and flagged the input as using copyrighted content. This is something you cannot unset even with the safety filters and seems to be an existing bug ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://issuetracker.google.com/issues/331677495", "href": "https://issuetracker.google.com/issues/331677495", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "But overall you get gpt-4o level performance for 7% the price, we are thinking of making it default in patchwork - ", "raw": "But overall you get gpt-4o level performance for 7% the price, we are thinking of making it default in patchwork - ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/patched-codes/patchwork", "href": "https://github.com/patched-codes/patchwork", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " You can use the ", "raw": " You can use the ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`google_api_key`", "href": null, "resource": null, "url": null, "code": "google_api_key", "user": null, "label": null, "lang": null }, { "type": "text", "value": " and ", "raw": " and ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`model`", "href": null, "resource": null, "url": null, "code": "model", "user": null, "label": null, "lang": null }, { "type": "text", "value": " options to choose ", "raw": " options to choose ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "inline_code", "value": null, "raw": "`gemini-1.5-flash-latest`", "href": null, "resource": null, "url": null, "code": "gemini-1.5-flash-latest", "user": null, "label": null, "lang": null }, { "type": "text", "value": " to run it with patchwork.", "raw": " to run it with patchwork.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "OPEN VLM LEADERBOARD JUST RELEASED the FULL EVALUATION RESULTS of GPT-4o", "raw": "OPEN VLM LEADERBOARD JUST RELEASED the FULL EVALUATION RESULTS of GPT-4o", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "[TL;DR]", "raw": "[TL;DR]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "GPT-4o shows steady progress compared to GPT-4v (0419), with a 3% improvement on the average score (68.7% -> 72.1%). GPT-4o displays stronger perception and less hallucination. ", "raw": "GPT-4o shows steady progress compared to GPT-4v (0419), with a 3% improvement on the average score (68.7% -> 72.1%). GPT-4o displays stronger perception and less hallucination. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/opencompass/open_vlm_leaderboard", "href": null, "resource": { "type": "space", "id": "opencompass/open_vlm_leaderboard", "discussionNum": null }, "url": "https://huggingface.co/spaces/opencompass/open_vlm_leaderboard", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "💡 Thinking Tokens For Language Models!", "raw": "💡 Thinking Tokens For Language Models!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "How much is 56 times 37? Can you answer that right away?", "raw": "How much is 56 times 37? Can you answer that right away?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In a short paper, David Herel and Tomas Mikolov propose a simple method to improve the reasoning of language models when performing complex calculations. ", "raw": "In a short paper, David Herel and Tomas Mikolov propose a simple method to improve the reasoning of language models when performing complex calculations. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📌 They note that, although language models are not that good with difficult calculations, humans also cannot perform these calculations immediately and require a considerable amount of time to come up with an answer.", "raw": "📌 They note that, although language models are not that good with difficult calculations, humans also cannot perform these calculations immediately and require a considerable amount of time to come up with an answer.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Inspired by this, they introduce 💡Thinking Tokens💡", "raw": "Inspired by this, they introduce 💡Thinking Tokens💡", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "So what are those \"thinking tokens\"?! Nothing fancy, they are just special tokens '<T>' that you insert after each word in a sentence whenever a complex problem is encountered. That's it!", "raw": "So what are those \"thinking tokens\"?! Nothing fancy, they are just special tokens '<T>' that you insert after each word in a sentence whenever a complex problem is encountered. That's it!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 The main idea is to \"buy\" the model \"some time\" to think about the problem with these additional computations before answering. Using this method they observed an improved (a little bit) perplexity.", "raw": "👉 The main idea is to \"buy\" the model \"some time\" to think about the problem with these additional computations before answering. Using this method they observed an improved (a little bit) perplexity.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 Before getting excited note that: They have added these tokens manually, and they have used an RNN language model. From the paper:", "raw": "👉 Before getting excited note that: They have added these tokens manually, and they have used an RNN language model. From the paper:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "\"As a proof of concept, we have added N ’thinking tokens’ (< T >) after each observed word in a dataset. Our vision is that this basic concept can be extended to a self-adjusting model, which will be able to decide itself if and how many ’thinking tokens’ will be used for a specific problem, where N could also vary throughout the sentence. This would allow us to reduce the computational time, which would not increase N times.\"", "raw": "\"As a proof of concept, we have added N ’thinking tokens’ (< T >) after each observed word in a dataset. Our vision is that this basic concept can be extended to a self-adjusting model, which will be able to decide itself if and how many ’thinking tokens’ will be used for a specific problem, where N could also vary throughout the sentence. This would allow us to reduce the computational time, which would not increase N times.\"", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "It turned out that the following simple method seems to be actually effective when you want to increase the appearance probability of only one or a very limited number of tokens.", "raw": "It turned out that the following simple method seems to be actually effective when you want to increase the appearance probability of only one or a very limited number of tokens.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\nimport os\n\none_token = \"♡\" # Token to increase the appearance probability\nvalue = 1000000\n\ntoken = one_token * value\n\nwith open(\"one-token.txt\", \"w\", encoding=\"utf-8\") as f:\n f.write(token)\n```", "href": null, "resource": null, "url": null, "code": "import os\n\none_token = \"♡\" # Token to increase the appearance probability\nvalue = 1000000\n\ntoken = one_token * value\n\nwith open(\"one-token.txt\", \"w\", encoding=\"utf-8\") as f:\n f.write(token)", "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "By training LoRA with unsloth based on the .txt file generated by the code above, you can increase the appearance probability of specific tokens while maintaining the model's performance to great extent. However, it's better to stop the training before train loss becomes 0.0, as it will start spamming the token once it appears even once. In general, you can stop training at a very early stage and it will still work.", "raw": "By training LoRA with unsloth based on the .txt file generated by the code above, you can increase the appearance probability of specific tokens while maintaining the model's performance to great extent. However, it's better to stop the training before train loss becomes 0.0, as it will start spamming the token once it appears even once. In general, you can stop training at a very early stage and it will still work.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "It is also possible to reduce the appearance probability of specific tokens by creating an over-learned LoRA with the specific tokens you want to reduce, combining it with the model, and then creating a model that extracts only the difference using the chat vector method and subtracting it from an arbitrary model.", "raw": "It is also possible to reduce the appearance probability of specific tokens by creating an over-learned LoRA with the specific tokens you want to reduce, combining it with the model, and then creating a model that extracts only the difference using the chat vector method and subtracting it from an arbitrary model.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In this case, it is better to set the ratio of chat vector to about five times. It has very little effect on the overall performance, apart from the specific tokens.", "raw": "In this case, it is better to set the ratio of chat vector to about five times. It has very little effect on the overall performance, apart from the specific tokens.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\n new_v = v - (5.0 * chat_vector[i].to(v.device))\n```", "href": null, "resource": null, "url": null, "code": " new_v = v - (5.0 * chat_vector[i].to(v.device))", "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've been researching what makes us \"conscious\" and the ambiguity in the word \"conscious\", It all falls to knowledge and ability to use it.", "raw": "I've been researching what makes us \"conscious\" and the ambiguity in the word \"conscious\", It all falls to knowledge and ability to use it.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Do you think we can upload consciousness using AI?", "raw": "Do you think we can upload consciousness using AI?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Is there a correlation between number of words and knowledge?", "raw": "Is there a correlation between number of words and knowledge?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Sanskrit has 1000X more words than any other language.", "raw": "Sanskrit has 1000X more words than any other language.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I just completed getting all four aspects of the new OpenAI GPT-4-o Omni model to process Text, Image, Audio, and Video.", "raw": "I just completed getting all four aspects of the new OpenAI GPT-4-o Omni model to process Text, Image, Audio, and Video.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check it out and let me know what you think!", "raw": "Check it out and let me know what you think!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Space: ", "raw": "Space: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video", "href": null, "resource": { "type": "space", "id": "awacke1/GPT-4o-omni-text-audio-image-video", "discussionNum": null }, "url": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Discussion: ", "raw": "Discussion: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video/discussions", "href": null, "resource": { "type": "space", "id": "awacke1/GPT-4o-omni-text-audio-image-video", "discussionNum": null }, "url": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video/discussions", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Test Runs for All Four Modalities: ", "raw": "Test Runs for All Four Modalities: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video/discussions/1", "href": null, "resource": { "type": "space", "id": "awacke1/GPT-4o-omni-text-audio-image-video", "discussionNum": 1 }, "url": "https://huggingface.co/spaces/awacke1/GPT-4o-omni-text-audio-image-video/discussions/1", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "--Aaron - ", "raw": "--Aaron - ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/awacke1", "href": "https://huggingface.co/awacke1", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "New open Vision Language Model by ", "raw": "New open Vision Language Model by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Google", "href": null, "resource": null, "url": null, "code": null, "user": "Google", "label": null, "lang": null }, { "type": "text", "value": ": PaliGemma 💙🤍", "raw": ": PaliGemma 💙🤍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📝 Comes in 3B, pretrained, mix and fine-tuned models in 224, 448 and 896 resolution", "raw": "📝 Comes in 3B, pretrained, mix and fine-tuned models in 224, 448 and 896 resolution", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧩 Combination of Gemma 2B LLM and SigLIP image encoder", "raw": "🧩 Combination of Gemma 2B LLM and SigLIP image encoder", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤗 Supported in transformers", "raw": "🤗 Supported in transformers", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "PaliGemma can do..", "raw": "PaliGemma can do..", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧩 Image segmentation and detection! 🤯", "raw": "🧩 Image segmentation and detection! 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📑 Detailed document understanding and reasoning", "raw": "📑 Detailed document understanding and reasoning", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🙋 Visual question answering, captioning and any other VLM task!", "raw": "🙋 Visual question answering, captioning and any other VLM task!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Read our blog 🔖 hf.co/blog/paligemma", "raw": "Read our blog 🔖 hf.co/blog/paligemma", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try the demo 🪀 hf.co/spaces/google/paligemma", "raw": "Try the demo 🪀 hf.co/spaces/google/paligemma", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check out the Spaces and the models all in the collection 📚 ", "raw": "Check out the Spaces and the models all in the collection 📚 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda", "href": null, "resource": { "type": "collection", "id": "google/paligemma-release-6643a9ffbf57de2ae0448dda", "discussionNum": null }, "url": "https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collection of fine-tuned PaliGemma models ", "raw": "Collection of fine-tuned PaliGemma models ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/google/paligemma-ft-models-6643b03efb769dad650d2dda", "href": null, "resource": { "type": "collection", "id": "google/paligemma-ft-models-6643b03efb769dad650d2dda", "discussionNum": null }, "url": "https://huggingface.co/collections/google/paligemma-ft-models-6643b03efb769dad650d2dda", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own", "raw": "AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Demo: ", "raw": "Demo: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/radames/ai-town", "href": null, "resource": { "type": "space", "id": "radames/ai-town", "discussionNum": null }, "url": "https://huggingface.co/spaces/radames/ai-town", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Instructions: ", "raw": "Instructions: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/radames/ai-town-huggingface", "href": "https://github.com/radames/ai-town-huggingface", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hello everyone,", "raw": "Hello everyone,", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I wanted to share some exciting news: Google has just launched PaliGemma, a new Gemma Model which is multimodal and has 3 billion parameters. ", "raw": "I wanted to share some exciting news: Google has just launched PaliGemma, a new Gemma Model which is multimodal and has 3 billion parameters. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "What do you all think about this development? Are you as intrigued by its potential as I am?", "raw": "What do you all think about this development? Are you as intrigued by its potential as I am?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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